42nd week of 2021 patent applcation highlights part 51 |
Patent application number | Title | Published |
20210326559 | SENSING DEVICE AND METHOD FOR DRIVING SENSING PIXELS - Sensing pixels each store a sensing voltage level. A method for driving the plurality of sensing pixels includes providing a plurality of readout scan signals to the plurality of sensing pixels, and providing a plurality of reset scan signals to the plurality of sensing pixels. One of the plurality of readout scan signals enables one of the plurality of sensing pixels to output the sensing voltage level stored in the one of the plurality of sensing pixels. One of plurality of reset scan signals resets the sensing voltage level stored in one of the plurality of sensing pixels. One of the plurality of reset scan signals is generated by converting one of the plurality of readout scan signals with a level shift circuit or one of the plurality of readout scan signals is generated by converting one of the plurality of reset scan signals with a level shift circuit. | 2021-10-21 |
20210326560 | MOBILE TERMINAL AND RECOGNITION METHOD - A mobile terminal and a recognition method are provided. The mobile terminal includes a first display panel ( | 2021-10-21 |
20210326561 | FINGERPRINT IDENTIFICATION METHOD, FINGERPRINT IDENTIFICATION APPARATUS AND ELECTRONIC DEVICE - Embodiments of the present application provide a fingerprint identification method, a fingerprint identification apparatus and an electronic device. The fingerprint identification method is applied to a fingerprint identification apparatus disposed under a display screen of an electronic device, the fingerprint identification apparatus includes a pixel array and a colour filter layer, the colour filter layer includes at least one filter unit, and the at least one filter unit is disposed above at least one first type pixel of the pixel array, respectively, and the method includes: capturing a first light signal transmitting through the at least one filter unit and sensed by the first type pixel; determining a fingerprint identification environment according to an intensity of the first light signal; and determining, based on the fingerprint identification environment, a target capturing parameter of capturing a fingerprint light signal, the fingerprint light signal being used for fingerprint identification. | 2021-10-21 |
20210326562 | Fingerprint Identification Method and Apparatus, Storage Medium and Terminal - A fingerprint identification apparatus, comprising: a nonopaque nonopaque glass cover plate, a display unit, an optical film, an imaging unit, and a photoelectric sensing unit, wherein the nonopaque glass cover plate has a touch interface for contacting a to-be-identified fingerprint; the display unit is provided with a plurality of pixels, a part of the plurality of pixels form one or more point light source regions; the optical film is provided with a light-transmitting region allowing light to pass through the optical film and a light-blocking region configured for preventing light from passing through the optical film; light emitted from one or more point light source region is reflected by an upper surface of the nonopaque cover glass, the reflected light passes through the nonopaque cover glass, the display unit, and the light-transmitting region of the optical film, and is imaged by the imaging unit onto the photoelectric sensing unit. | 2021-10-21 |
20210326563 | ELECTRONIC FINGERPRINT DEVICE FOR IDENTIFYING PERPETRATORS AND WITNESSES OF A CRIME AND METHOD THEREOF - The present embodiment relates generally to the protection of life and property. More specifically, the present invention may take the form of a personal security device that provides a non-violent means to deter aggressors though novel use of ubiquitous electronic communication devices. This is accomplished by systematically collecting and preserving pertinent artifacts relevant to the crime when initiated by overt or covert queue. This application can be used in a home, retail store, building, or structure as well. If a security sensor is triggered such as a door or window sensor then the application will then collect the digital fingerprints as previously discussed. This embodiment can increase the ability of law enforcement to search and find witnesses and criminals responsible for their actions. | 2021-10-21 |
20210326564 | METHOD FOR DRIVING DISPLAY PANEL AND DISPLAY APPARATUS - A method for driving a display panel and a display apparatus are provided. The display panel includes a display region including a fingerprint recognition region and includes subpixels located in the display region, and the subpixels include first subpixels located in the fingerprint recognition region and used as a light source for fingerprint recognition. In a first mode, the subpixels are scanned at a first frequency, and in the second mode, the subpixels are scanned at a second frequency. The second frequency is greater than the first frequency. The method includes: when the display panel is in the first mode, monitoring whether the display panel receives a fingerprint recognition requirement, and if yes, controlling the display panel to enter a trigger state; and when the display panel is in the trigger state, scanning the first subpixels at a frequency greater than the first frequency. | 2021-10-21 |
20210326565 | IMAGE ANALYSIS SYSTEM AND METHOD OF USING THE IMAGE ANALYSIS SYSTEM - A system and method for analyzing images using programmable device is disclosed. A sequencer operating on the non-transitory programmable device applies the first image analysis step to the first image to develop annotated training data. Specifications of the first image and the first image analysis step are developed using a graphical user interface operating on a computer. In addition, a machine learning system trainer operating on the programmable device trains an untrained machine learning system to develop a trained machine learning system. When the trained machine learning system is presented with the first image as an input, the trained machine learning system develops a prediction of the annotated training data. In addition, the sequencer analyzes a second image by undertaking a workflow, wherein the workflow is received from the computer and is specified using the graphical user interface and comprises a second image analysis step that that specifies operating the trained machine learning system | 2021-10-21 |
20210326566 | UNDER DISPLAY LIGHT FIELD SENSOR, DEVICE WITH UNDER DISPLAY LIGHT FIELD SENSOR FOR SENSING FINGERPRINT OR TOUCH, AND METHOD FOR RECONSTRUCTING IMAGE - An under display light field sensor is for sensing a fingerprint or touch on or in proximity to a display panel. The under display light field sensor includes a light-field image sensor and a plurality of micro-lenses on the subarrays of the sensing pixels. The light-field image sensor includes a plurality of subarrays of sensing pixels under the display panel. The sensing pixels in an identical one of the subarrays are configured to capture images of an object on or in proximity to the display panel by sensing lights from different directions. Each of the micro-lenses corresponds to one of the subarrays of the sensing pixels. | 2021-10-21 |
20210326567 | RECONSTRUCTION OF FINGERPRINT SUBIMAGES - The invention relates to a method of reconstructing a fingerprint image from a plurality of fingerprint subimages captured by an optical microlens array fingerprint sensor, and a sensor system performing the method. In an aspect, a method of reconstructing a fingerprint image from a plurality of fingerprint subimages captured by an optical microlens array fingerprint sensor arranged under a touch-display of a device is provided. The method comprises capturing an image of a fingerprint with the fingerprint sensor, extracting, from the captured fingerprint image, a fingerprint subimage for each microlens in the array, normalizing the corrected fingerprint subimages with corresponding subimages of a uniformity calibration image with known uniformity properties, rotating the normalized fingerprint subimages 180 degrees while maintaining their relative position with respect to the captured fingerprint image from which the fingerprint subimages are extracted, and combining the rotated and normalized fingerprint subimages into a fingerprint image. | 2021-10-21 |
20210326568 | SEMICONDUCTOR PACKAGE HAVING SELF-ALIGNED STRUCTURE - Semiconductor package having self-aligned structure disclosed. Semiconductor package includes a semiconductor chip having an active area and at least one marginal area that is located around the active area, wherein at least one alignment bar is arranged on the marginal area and a top structure being arranged on the semiconductor chip and having a groove being formed on a bottom surface, wherein the groove is configured for accommodating the alignment bar. | 2021-10-21 |
20210326569 | MOBILE TERMINAL - A mobile terminal including a flexible display; a support frame configured to support at least a part of the flexible display; a fingerprint recognition sensor disposed on the support frame in a region below and spaced apart from a rear surface of the flexible display and configured to recognize a fingerprint in contact with a front surface of the flexible display; and a support member disposed above and covering the fingerprint recognition sensor and configured to support the flexible display in the region in which the fingerprint recognition sensor is disposed. | 2021-10-21 |
20210326570 | FINGERPRINT IDENTIFICATION APPARATUS AND ELECTRONIC DEVICE - A fingerprint identification apparatus and an electronic device are provided. The fingerprint identification apparatus is used to be disposed under a display screen of an electronic device, including: a sensor chip, where the sensor chip includes a light detecting array and a chip seal ring, and the chip seal ring is disposed around the light detecting array; a light shielding layer, formed on the light detecting array, where the light shielding layer is provided with a plurality of light passing apertures, and the light shielding layer covers an whole region of the light detecting array and at least covers partial region of the chip seal ring; and the fingerprint light signal, returned after reflection or scattering via a finger above the display screen, is transmitted to the light detecting array through the plurality of light passing apertures on the light shielding layer for fingerprint identification. | 2021-10-21 |
20210326571 | FAST AND ROBUST FRICTION RIDGE IMPRESSION MINUTIAE EXTRACTION USING FEED-FORWARD CONVOLUTIONAL NEURAL NETWORK - Disclosed is a system and method for rapid noise-robust friction ridge impression minutiae extraction from digital signal using fully convolutional feed-forward neural network. The proposed neural network based system outperforms classical approaches and other neural network based systems for minutiae extraction in both speed and accuracy. The minutiae extracted using the system can be used at least for tasks such as biometric identity verification, identification or dactyloscopic analysis. | 2021-10-21 |
20210326572 | DISPLAY DEVICE HAVING FINGERPRINT SENSING FUNCTION AND METHOD OF OPERATING THE SAME - A display device includes: a display unit configured to display an image; a fingerprint sensing unit on one surface of the display unit and comprising fingerprint sensing pixels configured to sense a fingerprint; and a readout circuit configured to receive a fingerprint sensing signal from the fingerprint sensing pixels, wherein the readout circuit is configured to generate and output a normal fingerprint image and a dry fingerprint image, which correspond to the fingerprint sensing signal, during a fingerprint registration mode. | 2021-10-21 |
20210326573 | FINGERPRINT IDENTIFICATION DEVICE, METHOD AND ELECTRONIC DEVICE - Provided are a fingerprint identification device, a fingerprint identification method and an electronic device, which could improve security of fingerprint identification. The fingerprint identification device includes an optical fingerprint sensor including a plurality of pixel units; at least two filter units disposed above at least two of the plurality of pixel units, where each filter unit corresponds to one pixel unit, and the at least two filter units comprise filter units in at least two colors. | 2021-10-21 |
20210326574 | FACE DETECTION METHOD, APPARATUS, AND DEVICE, AND STORAGE MEDIUM - Embodiments of this disclosure disclose a face detection method, apparatus, and device, and a storage medium. A face candidate region in a to-be-detected image is determined according to a face detection model including a plurality of stages of convolutional neural networks (CNNs). A small-scale face is determined according to a size parameter, and a particular stage CNN corresponding to the size parameter is selected to perform the face detection. A CNN in different stage is adapted to a different size parameter or a size parameter range. | 2021-10-21 |
20210326575 | FACE RECOGNITION DEVICE - A face recognition device includes a screen component, a middle frame and a radio frequency antenna. The screen component is installed on the middle frame, the radio frequency antenna is disposed between the middle frame and the screen component, and the screen component is provided with a clear zone, so that the radio frequency antenna radiates electromagnetic waves outward through the clear zone of the screen component. Since the radio frequency antenna is disposed between the middle frame and the screen component and the screen component is provided with the clear zone, the radio frequency antenna can radiate electromagnetic waves outward through the clear zone on the screen component, so as to establish a communication with an electronic tag. | 2021-10-21 |
20210326576 | IDENTITY VERIFICATION METHOD AND APPARATUS, COMPUTER DEVICE AND STORAGE MEDIUM - An identity authentication method is provided, including: acquiring a raw feature of a user; calling an identity authentication model to extract a primary attribute feature vector in the raw feature, the primary attribute feature vector being an unbiased feature representation for selectively decoupling m−1 domain discrepancy features in the raw feature, and m being an integer greater than 2; and performing unbiased identity authentication based on the primary attribute feature vector to obtain an identity authentication result. | 2021-10-21 |
20210326577 | INFORMATION PROCESSING APPARATUS, GENETIC INFORMATION GENERATION METHOD AND PROGRAM - An information processing apparatus comprises an extraction part and a genetic information generation part. The extraction part extracts a phenotypic site(s) representing a genetic phenotype(s) of a living entity from the image. The genetic information generation part generates genetic information of the living entity captured in the image based on the phenotypic site(s) extracted by the extraction part. The image comprises a person image in which a person captured. The genetic information generation part may generate genetic information of the person captured in the person image. | 2021-10-21 |
20210326578 | FACE RECOGNITION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM - Some embodiments of the present disclosure relate to a method and apparatus for face recognition, an electronic device, and a storage medium. The method includes: extracting a first target parameter value of a first face image to be recognized; performing feature extraction on the first face image to obtain a first feature corresponding to the first face image; processing the first feature and the first target parameter value to obtain a first corrected feature corresponding to the first feature; and obtaining a face recognition result of the first face image based on the first corrected feature. | 2021-10-21 |
20210326579 | Mask aware biometric identification system - A face identification system detects that a user is wearing a facemask, by finding an area on the face image which has no facial recognition facial features, and that area is a continuous area and includes the nose and mouth of the user, being covered by the mask. Responsive to making this detection, the system determines that the user is wearing a facemask and carries out a facemask recognition operation. The facemask recognition operation can include finding some other way to verify the user, or reducing security so that the user can be verified while still wearing the facemask. | 2021-10-21 |
20210326580 | FACE RECOGNITION DEVICE AND FACE RECOGNITION METHOD - A face recognition device and a face recognition method are provided. The face recognition device includes a camera module, a processor and a memory. The camera module obtains a first image of a recognition target and obtains a second image of the recognition target. The processor analyzes whether the first image meets an image condition to determine whether the recognition target is a real face. The memory stores a face database. When the processor determines that the first image meets the image condition, the processor analyzes a plurality of facial features in the second image, and the processor compares whether the second image matches face registration data in the face database according to the facial features to determine whether the second image passes recognition. | 2021-10-21 |
20210326581 | DNN-Based Human Face Classification - Extracting target information from signals of a radar and measurement environments, including: transmitting frequency-modulated continuous wave transmit signal using the radar; receiving reflected signal reflected from a human face at multiple antenna elements; multiplying the transmit signal with the reflected signal using a mixer to produce a mixed signal; passing the mixed signal through a low pass filter to produce a baseband signal including sinusoidal signals; extracting a frequency of each sinusoidal signal from the baseband signal to produce extracted frequencies; and measuring a distance between the human face and the radar using the extracted frequencies. | 2021-10-21 |
20210326582 | BIOMETRIC IDENTIFICATION AND VERIFICATION - In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR. | 2021-10-21 |
20210326583 | EXPRESSION PREDICTION USING IMAGE-BASED MOVEMENT METRIC - Techniques are disclosed for training a machine learning model to predict user expression. A plurality of images are received, each of the plurality of images containing at least a portion of a user's face. A plurality of values for a movement metric are calculated based on the plurality of images, each of the plurality of values for the movement metric being indicative of movement of the user's face. A plurality of values for an expression unit are calculated based on the plurality of values for the movement metric, each of the plurality of values for the expression unit corresponding to an extent to which the user's face is producing the expression unit. The machine learning model is trained using the plurality of images and the plurality of values for the expression unit. | 2021-10-21 |
20210326584 | AUGMENTED REALITY (AR) DEVICE AND METHOD OF PREDICTING POSE THEREIN - An augmented reality (AR) device and a method of predicting a pose in the AR device is provided. In the augmented reality (AR) device inertial measurement unit (IMU) values corresponding to the movement of the AR device are obtained at an IMU rate, intermediate 6-degrees of freedom (6D) poses of the AR device are estimated based on the IMU values and images around the AR device via a visual-inertial simultaneous localization and mapping (VI-SLAM) module, and a pose prediction model for predicting relative 6D poses of the AR device is generated by performing learning by using a deep neural network. | 2021-10-21 |
20210326585 | SMART DESK HAVING STATUS MONITORING FUNCTION, MONITORING SYSTEM SERVER, AND MONITORING METHOD - Disclosed are an intelligent desk having a state monitoring function, a monitoring system server, and a monitoring method. The intelligent desk comprises a desk body, an image acquisition device disposed on the desk body, and an AI recognition module, wherein the image acquisition device is used for acquiring a facial image of a user, and inputting the acquired facial image into the AI recognition module; the AI recognition module is used for recognizing whether a face in the input image is in a concentrating state; the intelligent desk further comprises a communication module and/or a local prompting device, wherein the AI recognition module is capable of sending a recognition result of the concentrating state to a background server and/or a first client via the communication module, or the local prompting device can be triggered according to the recognition result of the concentrating state of the AI recognition module. | 2021-10-21 |
20210326586 | Image Processing System for Extracting a Behavioral Profile from Images of an Individual Specific to an Event - An automated image processing method for assessing facially-expressed emotions of an individual, the facially-expressed emotions being caused by operation of a vehicle, machinery, or robot by the individual, including operating a vehicle, machinery, or robot by the individual and thereby expose a vision of the individual to a stimulus, detecting non-verbal communication from a physiognomical expression of the individual based on image data by a first computer algorithm, the image data of the physiognomical expression of the individual being caused in response to the stimulus, assigning features of the non-verbal communication to different types of emotions by a second computer algorithm, analyzing the different types of emotions to determine an emotional state of mind of the individual, and generating at least one of a prompt, an alert, or a change in a setting of an operational parameter of the vehicle, based on the emotional state of mind of the individual. | 2021-10-21 |
20210326587 | HUMAN FACE AND HAND ASSOCIATION DETECTING METHOD AND A DEVICE, AND STORAGE MEDIUM - The present disclosure relates to a method and apparatus for association detection for a human face and a human hand, an electronic apparatus and a storage medium. The method comprises: acquiring a first image, the first image being an image of a human object; performing feature extraction on the first image to obtain a first feature map of multiple dimensions; performing a feature fusion processing on the first feature map of multiple dimensions to obtain a second feature map of multiple dimensions, the dimensions of the second feature map corresponding to the dimensions of the first feature map in a one-to-one manner; detecting, on the basis of the obtained second feature map of multiple dimensions, a human face position and a human hand position associated with the same human object in the first image. The embodiment of the present disclosure enables easy and convenient association detection for human face and human hand. | 2021-10-21 |
20210326588 | VALIDATION METHOD AND APPARATUS FOR IDENTIFICATION DOCUMENTS - An apparatus configured to perform or control obtaining or causing obtaining an image of at least a part of a surface of a document. The apparatus deriving or causing the derivation of a representation of the at least a part of the surface from the image. The representation comprising a set of values respectively representing a corresponding set of height levels. The apparatus generates or causes the generating of a string of characters based on the representation of the part of the surface. The string of characters comprising a first portion representative of the set of height levels of the corresponding sections of the part of the surface and a second portion generated based on a function of the representation and/or of the first portion of the string of characters. The apparatus associates or causes the associating of information representing the string of characters with identification information of the document | 2021-10-21 |
20210326589 | OBJECT DETECTION AND IMAGE CLASSIFICATION BASED OPTICAL CHARACTER RECOGNITION - A system performs optical character recognition (OCR) on an image displaying a portion of an object. An image classification system identifies the object in the image, based on which one or more object detection models identify labels associated with the object within the image. The system determines text of the identified labels using OCR, and analyzes the OCR resultant text for discrepancies and/or inaccuracies. In response to identifying a discrepancy, the system provides a recommendation for improving the accuracy of the OCR resultant text. | 2021-10-21 |
20210326590 | GRAPHIC PROTECTIVE ELEMENT AUTHENTICITY CHECK SYSTEM - This invention refers to the digital automated electronic systems for the protection of the graphic protective element against the unauthorized reproduction of the graphic protective element. The system allows for simultaneous processing, conversion, identification, decoding etc. of at least two parameters related to the graphic protective element. The technical result consists in determining the increased level of protection of the graphic protective element using the comprehensive analysis of the received data, which is the result of the identification of the code from the medium. | 2021-10-21 |
20210326591 | METHOD FOR CONTROLLING MOBILE COMMUNICATION DEVICE, AND MOBILE COMMUNICATION DEVICE - A method for controlling a mobile communication device using a user's distance specifying algorithm, the method comprises a first process of receiving an input image from a camera to generate first data; a second process of determining whether there is a candidate group that can be determined as a face using the first data and second data including a user's distance information; a third process of extracting, if there is a candidate group that can be determined as a face, from a plurality of third data including location information of the candidate group, fourth data having a minimum distance between a center of the first data and a center of the third data; and a fourth process of comparing the fourth data with a predetermined user's distance to determine whether it has a value within a tolerance range. | 2021-10-21 |
20210326592 | IMAGE SENSOR WITH INSIDE BIOMETRIC AUTHENTICATION AND STORAGE - The present technology is to provide an image sensor capable of enhancing the security of biometric information and lowering the risk of information leakage. An image sensor | 2021-10-21 |
20210326593 | METHOD AND DEVICES FOR DETERMINING A FILLING LEVEL IN AT LEAST ONE STORAGE UNIT - Described herein is a method for determining a filling level in at least one storage unit. The method includes
| 2021-10-21 |
20210326594 | COMPUTER-GENERATED SUPPLEMENTAL CONTENT FOR VIDEO - Implementations of the subject technology provide systems and methods for displaying virtual content that is supplemental to video content being displayed to a user. The virtual content can be generated based on the video content being displayed, including based on scene content obtained for the video content and/or detected in the video content. The scene content can be identified, by the device providing the supplemental virtual content, in real time during playback of the video content. | 2021-10-21 |
20210326595 | SYSTEMS AND METHODS FOR STREAM RECOGNITION - The present disclosure provides systems and methods for providing augmented reality experiences. Consistent with disclosed embodiments, one or more machine-learning models can be trained to selectively process image data. A pre-processor can be configured to receive image data provided by a user device and trained to automatically determine whether to select and apply a preprocessing technique to the image data. A classifier can be trained to identify whether the image data received from the pre-processor includes a match to one of a plurality of triggers. A selection engine can be trained to select, based on a matched trigger and in response to the identification of the match, a processing engine. The processing engine can be configured to generate an output using the image data, and store the output or provide the output to the user device or a client system. | 2021-10-21 |
20210326596 | EVENT ANALYSIS SYSTEM AND EVENT ANALYSIS METHOD - An event analysis system capable of appropriately estimating a specific event is provided. Provided are an estimation unit that estimates a track of a person based on video data acquired by a camera, a determination unit that determines, based on determination information for determining a specific event, whether or not the track estimated by the estimation unit corresponds to the specific event, a filter unit that removes, based on normal event information for identifying a normal event, the normal event from the events that have been determined by the determination unit to correspond to the specific event, and an output unit that outputs information indicating that the event is occurring after the normal event has been removed by the filter unit. | 2021-10-21 |
20210326597 | VIDEO PROCESSING METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM - A video processing method includes obtaining a video frame sequence including a moving target, and obtaining, according to the video frame sequence and by processing circuitry of a neural network model, a motion state feature representing the moving target, the motion state feature being expressed in a time sequence of the video frame sequence. The video processing method also includes obtaining a result of matching between the motion state feature of the moving target and a motion state feature of a designated target. | 2021-10-21 |
20210326598 | SYSTEMS AND METHODS FOR GENERATING A VIDEO SUMMARY - Systems and method of generating video summaries are presented herein. Information defining a video may be obtained. The video may include a set of frame images. Parameter values for parameters of individual frame images of the video may be determined. Interest weights for the frame images may be determined. An interest curve for the video that characterizes the video by interest weights as a function of progress through the set of frame images may be generated. One or more curve attributes of the interest curve may be identified and one or more interest curve values of the interest curve that correspond to individual curve attributes may be determined. Interest curve values of the interest curve may be compared to threshold curve values. A subset of frame images of the video to include within a video summary of the video may be identified based on the comparison. | 2021-10-21 |
20210326599 | SYSTEM AND METHOD FOR AUTOMATICALLY DETECTING AND MARKING LOGICAL SCENES IN MEDIA CONTENT - A system including a scene detection engine (SDE) and a method for automatically detecting and marking logical scenes in media content using artificial intelligence are provided. The SDE detects boundaries of shots in media content. The SDE generates an image similarity matrix by extracting color features from a middle frame of each shot. The SDE generates an audio similarity matrix by extracting audio features of each shot. The SDE generates a resultant similarity matrix from the image and audio similarity matrices. The SDE executes a clustering algorithm using the resultant similarity matrix with reduced or no noise to generate an ordered sequence of shots that define a boundary of each scene of the media content. The SDE executes a linear traversal algorithm on the shots that define the boundary of each scene for correcting errors in the defined boundary of each scene. | 2021-10-21 |
20210326600 | INFORMATION MANAGEMENT DEVICE AND INFORMATION MANAGEMENT METHOD - An information management device includes: a first data storage unit which stores first data relating to at least one of data on equipment and operation behavior data concerning the equipment up to occurrence of an event; an event information generation unit which classifies the event on the basis of the first data and generates event information associated with the first data; a second data storage unit which stores second data in which the data on the equipment encompassing before and after maintenance work in response to the event is associated with maintenance behavior data concerning the equipment; a maintenance information generation unit which associates the event information with the second data and generates maintenance information corresponding to each piece of event information; and a maintenance information storage unit which stores the generated maintenance information. | 2021-10-21 |
20210326601 | KEYPOINT MATCHING USING GRAPH CONVOLUTIONS - A method for keypoint matching includes determining a first set of keypoints corresponding to a current environment of the agent. The method further includes determining a second set of keypoints from a pre-built map of the current environment. The method still further includes identifying matching pairs of keypoints from the first set of keypoints and the second set of keypoints based on geometrical similarities between respective keypoints of the first set of keypoints and the second set of keypoints. The method also includes determining a current location of the agent based on the identified matching pairs of keypoints. The method further includes controlling an action of the agent based on the current location. | 2021-10-21 |
20210326602 | RENDERING A SITUATIONAL-AWARENESS VIEW IN AN AUTONOMOUS-VEHICLE ENVIRONMENT - In one embodiment, a method includes receiving sensor data from a sensor array of a vehicle while traveling on a road. The method includes determining a confidence score for a classification of an object based on the sensor data. The method includes generating an object graphic corresponding to the object based on the confidence score for the classification of the object. The method includes retrieving, from one or more third-party systems, third-party data associated with an environment in proximity to the object and associated with the road based on the classification. The method includes generating an overlay graphic corresponding to the environment in proximity to the object based on the third-party data. The method includes providing for display the object graphic rendered in association with the overlay graphic corresponding to the environment. | 2021-10-21 |
20210326603 | MACHINE VISION SYSTEM AND METHOD WITH STEERABLE MIRROR - A computer-implemented method for scanning a side of an object to identify a region of interest is provided. The method can include determining, using one or more computing devices, a distance between a side of an object and an imaging device, determining, using the one or more computing devices, a scanning pattern for an imaging device that includes a controllable mirror, based on the distance between the side of the object and the imaging device, moving a controllable mirror according to the scanning pattern to acquire, using the one or more computing device and the imaging device, a plurality of images of the side of the object, and identifying, using the one or more computing devices, the region of interest based on the plurality of images. | 2021-10-21 |
20210326604 | SYSTEM AND METHOD FOR DETERMINING VEHICLE DATA SET FAMILIARITY - The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting. | 2021-10-21 |
20210326605 | Method, Apparatus, System, And Storage Medium For Calibrating Exterior Parameter Of On-Board Camera - The present application discloses a method, an apparatus, a system, and a storage medium for calibrating an exterior parameter of an on-board camera, relating to the field of autonomous driving technologies. A specific implementation scheme of the method in the application is: preprocessing two frames of images of a former frame and a latter frame collected by the on-board camera; performing feature point matching on the two preprocessed frames of images to obtain matched feature points; determining a moving posture of the on-board camera according to the matched feature points; determining a conversion relationship between a vehicle coordinate system and an on-board camera coordinate system according to the moving posture, and obtaining the external parameter of the on-board camera relative to a vehicle body. | 2021-10-21 |
20210326606 | MACHINE LEARNING NETWORK BASED CARRIAGE CONTROL APPARATUS FOR MAINTENENCE STRIPING - A control system for positioning a marker over a pre-existing roadway surface mark. The control system has one or more imagers having a field of view for imaging an area of roadway mark surface encompassing the roadway mark and a computer having a machine learning network to process the roadway mark image and position the marker over the pre-existing roadway mark. | 2021-10-21 |
20210326607 | Autonomous Vehicle Lane Boundary Detection Systems and Methods - Systems and methods for facilitating communication with autonomous vehicles are provided. In one example embodiment, a computing system can obtain a first type of sensor data (e.g., camera image data) associated with a surrounding environment of an autonomous vehicle and/or a second type of sensor data (e.g., LIDAR data) associated with the surrounding environment of the autonomous vehicle. The computing system can generate overhead image data indicative of at least a portion of the surrounding environment of the autonomous vehicle based at least in part on the first and/or second types of sensor data. The computing system can determine one or more lane boundaries within the surrounding environment of the autonomous vehicle based at least in part on the overhead image data indicative of at least the portion of the surrounding environment of the autonomous vehicle and a machine-learned lane boundary detection model. | 2021-10-21 |
20210326608 | OBJECT DETECTION APPARATUS, OBJECT DETECTION METHOD, AND COMPUTER READABLE RECORDING MEDIUM - An object detection apparatus | 2021-10-21 |
20210326609 | OBJECT CLASSIFICATION USING EXTRA-REGIONAL CONTEXT - Some aspects of the subject matter disclosed herein include a system implemented on one or more data processing apparatuses. The system can include an interface configured to obtain, from one or more sensor subsystems, sensor data describing an environment of a vehicle, and to generate, using the sensor data, (i) one or more first neural network inputs representing sensor measurements for a particular object in the environment and (ii) a second neural network input representing sensor measurements for at least a portion of the environment that encompasses the particular object and additional portions of the environment that are not represented by the one or more first neural network inputs; and a convolutional neural network configured to process the second neural network input to generate an output, the output including a plurality of feature vectors that each correspond to a different one a plurality of regions of the environment. | 2021-10-21 |
20210326610 | ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA - A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor. | 2021-10-21 |
20210326611 | ELECTRONIC DEVICE FOR CONTROLLING DRIVING VEHICLE AND OPERATION METHOD OF THE ELECTRONIC DEVICE - An electronic device configured to control a host vehicle includes: an image sensor configured to photograph a surrounding environment of the host vehicle; and a processor configured to perform an image processing operation based on a first image captured by the image sensor, and control the host vehicle based on the processing result, wherein the processor determines whether to use a high speed performance of the image processing operation based on a speed of the host vehicle, and the electronic device is configured such that when the high speed performance is not used, the processor performs the image processing operation by using a first image processing module, and when the high speed performance is used, the processor performs the image processing operation by using a second image processing module having less data throughput than the first image processing module. | 2021-10-21 |
20210326612 | VEHICLE DETECTION METHOD AND DEVICE - A vehicle detection method includes obtaining a target image and depth information of each pixel in the target image, obtaining a distance value of a vehicle candidate area in the target image according to the target image and the depth information, and determining a detection model corresponding to the vehicle candidate area according to the distance value of the vehicle candidate area. | 2021-10-21 |
20210326613 | VEHICLE DETECTION METHOD AND DEVICE - A vehicle detection method includes obtaining a target image and depth information of each pixel in the target image, obtaining a distance value of a vehicle candidate area in the target image according to the target image and the depth information, and determining a detection model corresponding to the vehicle candidate area according to the distance value of the vehicle candidate area. | 2021-10-21 |
20210326614 | COMPUTER-IMPLEMENTED METHOD OF ALERTING DRIVER OF VEHICLE, APPARATUS FOR ALERTING DRIVER OF VEHICLE, VEHICLE, AND COMPUTER-PROGRAM PRODUCT - A computer-implemented method of alerting a driver of a vehicle is provided. The computer-implemented method includes obtaining a plurality of consecutive input images during a time interval using a three-dimensional depth camera, a respective one of the plurality of consecutive input images comprising a user sub-image and an object sub-image; deriving three-dimensional coordinates of user feature points in the user sub-image of the respective one of the plurality of consecutive input images using a first classifier; deriving three-dimensional coordinates of object feature points in the object sub-image of the respective one of the plurality of consecutive input images using the first classifier; and classifying user posture in the respective one of the plurality of consecutive input images by analyzing the three-dimensional coordinates of user feature points and the three-dimensional coordinates of object feature points using a second classifier. | 2021-10-21 |
20210326615 | SYSTEM AND METHOD FOR AUTOMATICALLY DETECTING AND REPAIRING BIOMETRIC CROSSLINKS - Systems and methods for repairing cross-linked biometric records receive a set of biometric records. Each biometric record contains at least one biometric sample in a non-textual modality. One or more of the biometric records in the set of biometric records is potentially a cross-linked biometric record having at least two biometric samples that are associated with different individuals. Crosslink resolution is performed on the set of biometric records by searching for a match between a biometric sample in a given non-textual modality of a given biometric record with each biometric sample of the same given non-textual modality in each of the other biometric records in the set of biometric records. During the crosslink resolution, biometric sample may be removed from one biometric record and merged with another biometric record. | 2021-10-21 |
20210326616 | METHOD AND APPARATUS FOR TESTING LIVENESS - Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network. | 2021-10-21 |
20210326617 | METHOD AND APPARATUS FOR SPOOF DETECTION - A method and apparatus for spoof detection are provided. An implementation of the method includes: acquiring an original image; inputting the original image into a training-completed spoof cue extraction network, to obtain a spoof cue signal of the original image; calculating an element-wise mean value of the spoof cue signal; and generating a spoof detection result of the original image based on the element-wise mean value. | 2021-10-21 |
20210326618 | DISPLAY APPARATUS AND PATTERN IDENTIFICATION METHOD THEREOF - A display panel includes a substrate, an organic light-emitting layer disposed over the substrate and having at least one pixel, and at least one optical sensor disposed over the substrate distal from the organic light-emitting layer; wherein the at least one pixel is configured to display an image and as a light source for the at least one optical sensor to realize pattern identification. | 2021-10-21 |
20210326619 | IMAGE RECOGNITION PROCESSING METHOD AND APPARATUS - An image recognition processing method and apparatus. The method comprises: obtaining original image data, convolutional neural network configuration parameters, and convolutional neural network operation parameters, the original image data comprising data of M pixel points ( | 2021-10-21 |
20210326621 | DETECTING STREAKS IN PRINTED DOCUMENTS USING BLOCKS - In an example method, an image of a printed document is descreened. The descreened image is separated into blocks. A smooth area of the descreened image is selected based on an averaging of localized color distance values of pixels in each of the blocks. A streak in a block of the smooth area is detected in response to detecting that a magnitude of a color distance projection of the block exceeds a threshold value. | 2021-10-21 |
20210326622 | FACIAL RECOGNITION METHOD, FACIAL RECOGNITION SYSTEM, AND ELECTRONIC DEVICE - Provided are a facial recognition method, an electronic device, a computer-readable storage medium, and a facial recognition system. The facial recognition method includes: obtaining a first required comparison value and a second required comparison value based on a facial feature; if the first required comparison value is less than a preset comparison threshold and the second required comparison value is also less than the preset comparison threshold, re-extracting a facial feature, and matching the re-extracted facial feature against a plurality of original images separately to obtain a third required comparison value; and if the third required comparison value is greater than or equal to the preset comparison threshold, determining that the recognition is successful. | 2021-10-21 |
20210326623 | DETECTION DEVICE - A detection device according to an aspect includes: a sensor base; a plurality of photoelectric conversion elements that are provided in a detection area of the sensor base and are configured to receive light incident thereon and output signals corresponding to the received light; a plurality of switching elements provided in the respective photoelectric conversion elements; a plurality of gate lines that are coupled to the switching elements and extend in a first direction; a first light source configured to emit first light having a first maximum emission wavelength; and a second light source configured to emit second light having a second maximum emission wavelength. | 2021-10-21 |
20210326624 | METHOD, SYSTEM AND DEVICE FOR DIFFERENCE AUTOMATIC CALIBRATION IN CROSS MODAL TARGET DETECTION - A method, a system and a device for difference automatic calibration in cross modal target detection are provided. The method includes: obtaining a plurality of modals of color-thermal images to be detected, and constructing an input image set; acquiring a feature map of each modal image in the input image set, and extracting a shared candidate region; aligning the shared candidate region, and obtaining a feature representation of the each shared candidate region through pooling; obtaining a category of the feature representation of the shared candidate region based on a preset classifier, and obtaining a position of the shared candidate region through deviation regression; adopting non-maximum value suppression to obtain a shared candidate region with the highest probability according to the category of the feature representation of the shared candidate region, and returning to the image to be detected for marking according to the position of the shared candidate region. | 2021-10-21 |
20210326625 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD AND COMPUTER-READABLE RECORDING MEDIUM - An information processing device includes: a processor including hardware, the processor being configured to cause a display to display a second image according to an input of an operation, the second image corresponding to a field of view corresponding to at least part of a first image contained in imaging data that is generated by capturing an observation subject, analyze change of the field of view over time to calculate an attention degree, and set a region of interest in the first image contained in the imaging data according to the attention degree. | 2021-10-21 |
20210326626 | Methods and Systems for Determining Accuracy of Sport-Related Information Extracted from Digital Video Frames - A computing system determines accuracy of sport-related information extracted from a time sequence of digital video frames that represent a sport event, the extracted sport-related information including an attribute that changes over the time sequence. The computing system (a) detects, based on the extracted sport-related information, a pattern of change of the attribute over the time sequence and (b) makes a determination of whether the detected pattern is an expected pattern of change associated with the sport event. If the determination is that the detected pattern is the expected pattern, then, responsive to making the determination, the computing system takes a first action that corresponds to the sport-related information being accurate. Whereas, if the determination is that the detected pattern is not the expected pattern, then, responsive to making the determination, the computing system takes a second action that corresponds to the sport-related information being inaccurate. | 2021-10-21 |
20210326627 | FOCUSING REGIONS OF INTEREST USING DYNAMIC OBJECT DETECTION FOR TEXTUAL INFORMATION RETRIEVAL - In various examples, frames of a video may include a first visual object that may appear relative to a second visual object within a region of the frames. Once a relationship between the first visual object and the region is known, one or more operations may be performed on the relative region. For example, optical character recognition may be performed on the relative region where the relative region is known to contain textual information. As a result, the identification of the first visual object may serve as an anchor for determining the location of the relative region including the second visual object—thereby increasing accuracy and efficiency of the system while reducing run-time. | 2021-10-21 |
20210326628 | METHOD AND APPARATUS FOR EXTRACTING INFORMATION, DEVICE AND STORAGE MEDIUM - Embodiments of the present disclosure disclose a method and apparatus for extracting information, a device and a storage medium, relate to the field of image processing technology. The method may include: acquiring a location template corresponding to a category of a target document image; determining key point locations on the target document image; generating a transformation matrix based on the key point locations on the target document image and key point locations on the location template; determining locations of information corresponding to the target document image, based on locations of information on the location template and the transformation matrix; and extracting information at the locations of information corresponding to the target document image to obtain information in the target document image. | 2021-10-21 |
20210326629 | SYSTEMS AND METHODS FOR DIGITIZED DOCUMENT IMAGE TEXT CONTOURING - Systems and methods for digitized document image text contouring are provided. One or more memories may be coupled to one or more processors, the one or more memories including instructions operable to be executed by the one or more processors. The one or more processors may be configured to receive a digitized document image. The one or more processors may be configured to preprocess the digitized document image to generate a plurality of contours. The one or more processors may be configured to adjust a plurality of bounding boxes of the plurality of contours; analyze the adjusted plurality of bounding boxes; create one or more clips based on the analysis; dynamically threshold the one or more clips; perform optical character recognition of the one or more clips; and receive output responsive to the optical character recognition. | 2021-10-21 |
20210326630 | System and Method for Extracting Target Data from Labels - A computing device for extracting target data from a source document includes: a memory storing target data extraction rules; a processor connected with the memory, the processor configured to: obtain text recognition data extracted from an image of the source document, the text recognition data indicating locations of text structures in the source document; define text lines based on the text recognition data; identify a reference string from the text recognition data; select a subset of the text lines based on a location of the reference string and the target data extraction rules; and output the subset of the text lines as the target data. | 2021-10-21 |
20210326631 | PREDICTIVE DOCUMENT CONVERSION - There is a need for more effective and efficient predictive document conversion. This need can be addressed by, for example, solutions for performing document conversion using a trained convolutional neural document conversion machine learning. In one example, the trained convolutional neural document conversion machine learning model is associated with a preprocessing block having a plurality of preprocessing subblocks, one or more main processing blocks each having a plurality of main processing subblocks, and a plurality of postprocessing subblocks each having one or more postprocessing subblocks, and the trained convolutional neural document conversion machine learning model is further associated with a preprocessing subblock repetition count hyper-parameter that defines a preprocessing subblock count of the plurality of preprocessing subblocks. | 2021-10-21 |
20210326632 | LOCATING METHOD AND SYSTEM - A method and system for locating a target object in a target scene. The method may include obtaining a depth image of the target scene. The depth image may include a plurality of pixels. The method may also include, for each of the plurality of pixels of the depth image, determining a first target coordinate under a target coordinate system. The method may further include generating a marking image according to the depth image and the first target coordinates of the plurality of pixels in the depth image. The marking image may represent potential target objects in the depth image. The method may also include determining a locating coordinate of the target object under the target coordinate system according to the marking image. | 2021-10-21 |
20210326633 | METHODS AND APPARATUS FOR BORDER-OWNERSHIP REPRESENTATION OF OCCLUDING CONTOURS FOR IMAGES - The invention discloses methods and apparatuses of coding border-ownership representation of occluding contours of objects in images; the invention further discloses methods and apparatuses for generating such border-ownership representation for a given image by training and using neural networks. | 2021-10-21 |
20210326634 | IMAGE ANALYSIS METHOD AND SYSTEM - An image analysis method, including: obtaining influencing factors of t frames of images, where the influencing factors include self-owned features of h target subjects in each of the t frames of images and relational vector features between the h target subjects in each of the t frames of images, self-owned features of each target subject include a location feature, an attribute feature, and a posture feature, and t and h are natural numbers greater than 1; and obtaining a panoramic semantic description based on the influencing factors, where the panoramic semantic description includes a description of relationships between target subjects, relationships between actions of the target subjects and the target subjects, and relationships between the actions of the target subjects. | 2021-10-21 |
20210326635 | OCCLUSION DETECTION SYSTEM - An occlusion detection system to perform operations that include: capturing image data that depicts an environment at a client device, the environment including a target object at a position within the environment; causing display of a presentation of the environment at the client device, the presentation of the environment including a display of the target object at the position within the environment; detecting a first attribute of the display of the target object at the client device; performing a comparison of the first attribute of the display of the target object and a second attribute associated with the target object; and detecting an occlusion based on the comparison. | 2021-10-21 |
20210326636 | DISCOVERING RANKED DOMAIN RELEVANT TERMS USING KNOWLEDGE - One embodiment of the invention provides a method for terminology ranking for use in natural language processing. The method comprises receiving a list of terms extracted from a corpus, where the list comprises a ranking of the terms based on frequencies of the terms across the corpus. The method further comprises accessing a domain ontology associated with the corpus, and re-ranking the list based on the domain ontology. The resulting re-ranked list comprises a different ranking of the terms based on relevance of the terms using knowledge from the domain ontology. The method further comprises generating clusters of terms via a trained model adapted to the corpus, and boosting a rank of at least one term of the re-ranked list based on the clusters to increase a relevance of the at least one term using knowledge from the trained model. | 2021-10-21 |
20210326637 | METHOD OF LABELLING FEATURES FOR IMAGE RECOGNITION AND APPARATUS THEREOF - A method of labelling features for image recognition and an apparatus thereof are provided. The method includes inputting an image to be recognized to an image recognition model to obtain a classification result; obtaining a plurality of recognized features and positions of the recognized features from the image to be recognized based on activation maps respectively corresponding to a plurality of preset features in the classification result; and labelling the recognized features and the positions of the recognized features activating the classification result. Accordingly, the features determined by the image recognition model can be showed clearly by the method of labelling features for image recognition and the apparatus thereof. | 2021-10-21 |
20210326638 | VIDEO PANOPTIC SEGMENTATION - Systems and methods for panoptic video segmentation are described. A method may include identifying a target frame and a reference frame from a video, generating target features for the target frame and reference features for the reference frame, combining the target features and the reference features to produce fused features for the target frame, generating a feature matrix comprising a correspondence between objects from the reference features and objects from the fused features; and generating panoptic segmentation information for the target frame based on the feature matrix. | 2021-10-21 |
20210326639 | IMAGE RECOGNITION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM - An image recognition method, electronic device, and storage medium are provided and relate to the fields of artificial intelligence, computer vision, deep learning, image processing, and the like. The method includes: performing joint training on a first sub-network configured for recognition processing and a second sub-network configured for retrieval processing in a classification network by adopting an identical set of training data to obtain a trained target classification network, wherein, the first sub-network and the second sub-network are twin networks that are consistent in network structures and share a set of weights; and inputting image data to be recognized into the target classification network to obtain a recognition result. By adopting the method, the accuracy of the image recognition may be improved. | 2021-10-21 |
20210326640 | METHOD AND APPARATUS FOR POSITIONING VEHICLE, ELECTRONIC DEVICE, AND STORAGE MEDIUM - A method for positioning a vehicle, a vehicle and an electronic device are disclosed, which relate to a field of automatic driving and intelligent transportation. The method includes: obtaining a map related to a region, the region being a region where a positioning signal such as a GNSS signal is limited, such as a tunnel, the region including a plurality of positioning markers, and the map including positioning mark data corresponding to the plurality of positioning markers; capturing image data for the region when the vehicle travels through the region; and determining positioning information of the vehicle by matching the image data with the positioning mark data in the map based on an estimated posture of the vehicle. The map here may be a high-precision map. | 2021-10-21 |
20210326641 | DEVICE AND METHOD FOR SELECTING A DEEP LEARNING NETWORK FOR PROCESSING IMAGES - A method for selecting a deep learning network which is optimal for solving an image processing task obtaining a type of the image processing task, selecting a data set according to the type of problem, and dividing selected data set into training data and test data. Similarities between different training data are calculated, and a batch size of the training data is adjusted according to the similarities of the training data. A plurality of deep learning networks is selected according to the type of problem, and the plurality of deep learning networks is trained through the training data to obtain network models. Each of the network models is tested through the test data, and the optimal deep learning network with the best test result is selected from the plurality of deep learning networks appropriate for image processing. | 2021-10-21 |
20210326642 | User-Customizable Machine-Learning in Radar-Based Gesture Detection - Various embodiments dynamically learn user-customizable input gestures. A user can transition a radar-based gesture detection system into a gesture-learning mode. In turn, the radar-based gesture detection system emits a radar field configured to detect a gesture new to the radar-based gesture detection system. The radar-based gesture detection system receives incoming radio frequency (RF) signals generated by the outgoing RF signal reflecting off the gesture, and analyzes the incoming RF signals to learn one or more identifying characteristics about the gesture. Upon learning the identifying characteristics, the radar-based gesture detection system reconfigures a corresponding input identification system to detect the gesture when the one or more identifying characteristics are next identified, and transitions out of the gesture-learning mode. | 2021-10-21 |
20210326643 | APPARATUS FOR GENERATING ANNOTATED IMAGE INFORMATION USING MULTIMODAL INPUT DATA, APPARATUS FOR TRAINING AN ARTIFICIAL INTELLIGENCE MODEL USING ANNOTATED IMAGE INFORMATION, AND METHODS THEREOF - A method for providing a user interface (UI) for generating training data for an artificial intelligence (AI) model may include providing, for display via the UI, image information that depicts an object, a set of operations of the object, and a process associated with the set of operations. The method may include providing, for display via the UI, text information that describes the object, the set of operations of the object, and the process associated with the set of operations. The method may include receiving, via the UI, a user input that associates respective image information of the image information with corresponding text information of the text information. The method may include generating association information that associates the respective image information with the corresponding text information, based on the user input. The method may include generating discourse and semantic information from the text information associated to the image information. | 2021-10-21 |
20210326644 | Physical Layer Authentication of Electronic Communication Networks - A network authentication system can be configured for sampling a plurality of signal samples from a device on a network, providing the plurality of signal samples to a first machine-learned model that is configured to determine a device fingerprint based at least in part on the plurality of signal samples, and providing the device fingerprint to a second machine-learned model that is configured to classify the device based at least in part on the device fingerprint. | 2021-10-21 |
20210326645 | ROBUST CORRELATION OF VEHICLE EXTENTS AND LOCATIONS WHEN GIVEN NOISY DETECTIONS AND LIMITED FIELD-OF-VIEW IMAGE FRAMES - A computer accesses a plurality of image frames. The computer identifies, within the plurality of image frames, a plurality of vehicle front vehicle back detections. The computer pairs at least a subset of the plurality of vehicle back detections with vehicle front detections. A given vehicle back detection is paired with a given vehicle front detection based on camera angle relative to a predefined axis. The computer assigns, using each of a plurality of pools, a score to each vehicle front detection—vehicle back detection pair, each non-paired vehicle front detection, and each non-paired vehicle back detection. Each pool comprises a data structure representing a scoring mechanism and a set of detections. The computer assigns each detection to a pool that assigned a highest score to that detection. Upon determining that a given pool comprises at least n detections: the computer labels the given pool as representing a specific vehicle. | 2021-10-21 |
20210326646 | AUTOMATED GENERATION OF TRAINING DATA FOR CONTEXTUALLY GENERATED PERCEPTIONS - Embodiments of the present invention train multiple Perception models to predict contextual metadata (tags) with respect to target content items. By extracting context from content items, and generating associations among the Perception models, individual Perceptions trigger one another based on the extracted context to generate a more robust set of contextual metadata. A Perception Identifier predicts core tags that make coarse distinctions among content items at relatively higher levels of abstraction, while also triggering other Perception models to predict additional perception tags at lower levels of abstraction. A Dense Classifier identifies sub-content items at various levels of abstraction, and facilitates the iterative generation of additional dense tags across integrated Perceptions. Class-specific thresholds are generated with respect to individual classes of each Perception to address the inherent sampling bias that results from the varying number and quality of training samples (across different classes of content items) available to train each Perception. | 2021-10-21 |
20210326647 | DEVICE AND METHOD TO IMPROVE THE ROBUSTNESS AGAINST 'ADVERSARIAL EXAMPLES' - A computer-implemented method for obtaining an adversarial input signal to a classifier for classifying input signals obtained from a sensor. The adversarial input signal is obtained from an original input signal. The adversarial input signal and the original input signal cause the classifier to classify the original input signal as belonging to a first class and the adversarial input signal as belonging to a second class different from said first class. The method includes: modifying said original input signal to yield a modified input signal; projecting said modified input signal onto a metric ball around said original input signal to yield a projected input signal; and obtaining said adversarial input signal depending on the projected input signal, characterized in that the metric is an at least approximate Wasserstein distance. | 2021-10-21 |
20210326648 | IMAGE DETERMINATION DEVICE, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - Provided is an image determination device. The image determination device is provided with: feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a determiner which outputs, on the basis of the feature data output from the extractors, output data indicating the determination result pertaining to the image; and a training part which trains the determiner so as to output, output data indicating the label data associated with the training image on the basis of the feature data output when the training image is input to the extractors, wherein the training part further trains, by using new training data, the determiner so that the output data indicating the label data associated with the image is output by the determiner. | 2021-10-21 |
20210326649 | CONFIGURATION METHOD AND APPARATUS FOR DETECTOR, STORAGE MEDIUM - A configuration method and apparatus for a detector, an electronic device, and a storage medium. The method comprises: determining a fixed dilation rate of a convolution operation of dilation convolution in a detector (S | 2021-10-21 |
20210326650 | DEVICE FOR GENERATING PREDICTION IMAGE ON BASIS OF GENERATOR INCLUDING CONCENTRATION LAYER, AND CONTROL METHOD THEREFOR - According to certain embodiments, an electronic apparatus comprises: a memory storing a generator previously trained to generate a prediction image based on one or more input images; and a processor configured to: acquire feature data from a plurality of image frames input through at least one layer included in the generator, extract feature data corresponding to change over time from the feature data acquired through an attention layer included in the generator, and acquire a prediction image frame by inputting the extracted feature data to at least one other layer included in the generator. | 2021-10-21 |
20210326651 | OBJECT DETECTION IMPROVEMENT BASED ON AUTONOMOUSLY SELECTED TRAINING SAMPLES - A method for generating positive and negative training samples is presented. The method includes identifying false positive images of an object based on multiple images of an environment. The method also includes generating positive training samples from a set of images of the object. The method further includes generating a negative training sample from the false positive image. The method still further includes training an object detection system based on the positive training samples and the negative training sample. | 2021-10-21 |
20210326652 | Dataset Quality for Synthetic Data Generation in Computer-Based Reasoning Systems - Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced. | 2021-10-21 |
20210326653 | SYSTEMS, METHODS, AND APPARATUSES FOR THE GENERATION OF SELF-TAUGHT MODELS GENESIS ABSENT MANUAL LABELING FOR THE PROCESSING OF MEDICAL IMAGING - Described herein are means for generation of self-taught generic models, named Models Genesis, without requiring any manual labeling, in which the Models Genesis are then utilized for the processing of medical imaging. For instance, an exemplary system is specially configured for learning general-purpose image representations by recovering original sub-volumes of 3D input images from transformed 3D images. Such a system operates by cropping a sub-volume from each 3D input image; performing image transformations upon each of the sub-volumes cropped from the 3D input images to generate transformed sub-volumes; and training an encoder-decoder architecture with skip connections to learn a common image representation by restoring the original sub-volumes cropped from the 3D input images from the transformed sub-volumes generated via the image transformations. A pre-trained 3D generic model is thus provided, based on the trained encoder-decoder architecture having learned the common image representation which is capable of identifying anatomical patterns in never before seen 3D medical images having no labeling and no annotation. More importantly, the pre-trained generic models lead to improved performance in multiple target tasks, effective across diseases, organs, datasets, and modalities. | 2021-10-21 |
20210326654 | METHOD AND DEVICE FOR TRAINING IMAGE ANALYSIS NEURAL NETWORK MODEL AND INTELLIGENT IMAGE CAPTURING APPARATUS EMPLOYING THE SAME - The present disclosure provides a method and a device for training a neural network model for use in analyzing captured images, and an intelligent image capturing apparatus employing the same. The neural network model can be trained by performing the image reconstruction and the image classification using based on image data received from a plurality of image capturing devices installed in the monitoring area, calculating at least one loss function based on data processed by the neural network model or the neural network model training device, and determining parameters minimizing the loss function. In addition, the neural network model can be updated through the re-training taking into account the newly acquired image data. Accordingly, the image analysis neural network model can operate with high precision and accuracy. | 2021-10-21 |
20210326655 | Text Recognition Method and Terminal Device - A text recognition method includes scaling a to-be-recognized image based on a first scale ratio, determining first coordinate information corresponding to a text line area in the scaled to-be-recognized image, determining, based on the first scale ratio, second coordinate information corresponding to the first coordinate information, where the second coordinate information is coordinate information of the text line area in the to-be-recognized image, performing character recognition on text line images corresponding to the second coordinate information by using a recognition model, and determining text line content corresponding to the text line images, where the to-be-recognized image includes the text line images. | 2021-10-21 |
20210326656 | PANOPTIC SEGMENTATION - A method, apparatus, non-transitory computer readable medium, and system for panoptic segmentation are described. Embodiments may generate a feature pyramid for an input image, wherein the feature pyramid comprises a plurality of feature maps at different resolution levels, apply an attention module to the feature pyramid to produce an enhanced feature map, combine the enhanced feature map with each of the plurality of feature maps to produce an enhanced feature pyramid, generate semantic information for the input image based on the enhanced feature pyramid, generate a plurality of object regions based on the enhanced feature pyramid, generate instance information for each of the plurality of object regions, and generate panoptic segmentation information for the input image based on the semantic information and the instance information for each of the plurality of object regions. | 2021-10-21 |
20210326657 | IMAGE RECOGNITION METHOD AND DEVICE THEREOF AND AI MODEL TRAINING METHOD AND DEVICE THEREOF - An image recognition method and a device thereof and an AI model training method and a device thereof are provided. The image recognition method includes: retrieving an input image with an image sensor; detecting an object in the input image and a plurality of characteristic points corresponding to the object, and obtaining real-time 2D coordinate information of the characteristic points; determining a distance between the object and the image sensor according to the real-time 2D coordinate information of the characteristic points through an AI model; and performing a motion recognition operation on the object based on that the distance is less than or equal to a threshold. | 2021-10-21 |
20210326658 | IDENTIFYING OVERFILLED CONTAINERS - Among other things, the techniques described herein include a method for receiving a plurality of images of one or more containers while the one or more containers are being emptied, the plurality of images comprising a training set of images and a validation set of images; labeling each image of the plurality of images as including either an overfilled container or a not-overfilled container; processing each image of the plurality of images to reduce bias of a machine learning model; training, and based on the labeling, the machine learning model using the plurality of images; and optimizing the machine learning model by performing learning against the validation set, the optimized machine learning model being used to generate a prediction for a new image of a container, the prediction indicating whether the container in the new image was overfilled prior to the new container being emptied. | 2021-10-21 |
20210326659 | SYSTEM AND METHOD FOR UPDATING AN INPUT/OUTPUT DEVICE DECISION-MAKING MODEL OF A DIGITAL ASSISTANT BASED ON ROUTINE INFORMATION OF A USER - A system and method for updating an input/output device decision-making model of a digital assistant based on routine information of a user are provided. The method includes analyzing at least a first collected dataset to identify a routine information data feature and a confidence level associated with the routine information data feature, wherein the first collected dataset is a dataset associated with a user; updating the input/output (I/O) device decision-making model of the digital assistant to include the identified routine information data feature; and executing at least one plan via the updated digital assistant by causing the I/O device to output a signal for causing at least one action by an external system with respect to the outside world. | 2021-10-21 |