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111.
公开(公告)号:US12062192B2
公开(公告)日:2024-08-13
申请号:US17486441
申请日:2021-09-27
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yu Gu
CPC classification number: G06T7/248 , G06V10/457 , G06V10/751 , G06V40/10 , G06V40/168 , G06T2207/30201 , G06T2207/30241
Abstract: A method, an apparatus, a computing device, and a computer-readable storage medium for correcting pedestrian trajectory are disclosed. The method includes obtaining face image frames and body image frames, determining a face identifier for a face area in each of the face image frames, determining an uncorrected face trajectory for the face identifier, determining a body identifier for a body area in each of the body image frames, determining an uncorrected body trajectory for the body identifier, for each of the face image frames and each of the body image frames that are at a same moment, establishing a set of matching relationship between the face identifier and the body identifier, and correcting at least one of the uncorrected face trajectory and the uncorrected body trajectory based on a plurality of sets of matching relationship of a plurality of same moments.
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公开(公告)号:US20240265730A1
公开(公告)日:2024-08-08
申请号:US18638731
申请日:2024-04-18
Applicant: PixArt Imaging Inc.
Inventor: NIEN-TSE CHEN , Yi-Hsien Ko , Yen- Min Chang
IPC: G06V40/16 , A61B5/00 , A61B5/01 , G01J5/00 , G01J5/02 , G06F18/22 , G06F18/25 , G06F21/32 , G06V10/143 , G06V10/74 , G06V10/80 , G06V40/10 , G06V40/20 , G06V40/40 , G16H40/63
CPC classification number: G06V40/161 , A61B5/0008 , A61B5/01 , A61B5/742 , A61B5/746 , G01J5/0025 , G01J5/026 , G06F18/22 , G06F18/251 , G06F21/32 , G06V10/143 , G06V10/761 , G06V10/803 , G06V40/113 , G06V40/168 , G06V40/172 , G06V40/20 , G06V40/28 , G06V40/45 , G16H40/63 , G01J2005/0077 , G06V40/117 , G06V40/16
Abstract: There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.
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113.
公开(公告)号:US20240265434A1
公开(公告)日:2024-08-08
申请号:US18634446
申请日:2024-04-12
Applicant: RadiusAI, Inc.
Inventor: Abraham Othman , Enis Aykut Dengi , Ishan Krishna Agrawal , Jeff Kershner , Peter Martinez , Paul Mills , Abhinav Yarlagadda
IPC: G06Q30/0601 , G06Q30/0201 , G06T7/246 , G06T7/292 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/16 , H04N7/18
CPC classification number: G06Q30/0631 , G06Q30/0201 , G06T7/246 , G06T7/292 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/168 , G06V40/173 , G06V40/174 , H04N7/181 , G06T2207/10016 , G06T2207/20084 , G06T2207/30201
Abstract: A visual tracking system for tracking and identifying persons within a monitored location, comprising a plurality of cameras and a visual processing unit, each camera produces a sequence of video frames depicting one or more of the persons, the visual processing unit is adapted to maintain a coherent track identity for each person across the plurality of cameras using a combination of motion data and visual featurization data, and further determine demographic data and sentiment data using the visual featurization data, the visual tracking system further having a recommendation module adapted to identify a customer need for each person using the sentiment data of the person in addition to context data, and generate an action recommendation for addressing the customer need, the visual tracking system is operably connected to a customer-oriented device configured to perform a customer-oriented action in accordance with the action recommendation.
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公开(公告)号:US12056909B2
公开(公告)日:2024-08-06
申请号:US17513441
申请日:2021-10-28
Inventor: Hyungil Kim , Kimin Yun , Yongjin Kwon , Jin Young Moon , Jongyoul Park , Kang Min Bae , Sungchan Oh , Youngwan Lee
IPC: G06V10/24 , G06F18/21 , G06F18/213 , G06F18/214 , G06N3/08 , G06V40/16
CPC classification number: G06V10/24 , G06F18/213 , G06F18/214 , G06F18/217 , G06N3/08 , G06V40/168 , G06V40/172
Abstract: A method and apparatus for face recognition robust to an alignment of the face comprising: estimating prior information of a facial shape from an input image cropped from an image including a face using the first deep neural network (DNN); extracting feature information of facial appearance from the input image by using a second DNN; training, by using a face image decoder based on the prior information and the feature information, the face recognition apparatus; and extracting, from a test image, facial shape-aware features in the inference step by using the trained second DNN.
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公开(公告)号:US20240259676A1
公开(公告)日:2024-08-01
申请号:US18623712
申请日:2024-04-01
Applicant: Apple Inc.
Inventor: Christopher WILSON , Guillaume BARLIER , Sebastian BAUER , Aurelio GUZMAN , Johnnie B. MANZARI , Nicole R. RYAN , Nicolas SCAPEL , Marco TRIVERIO , Giancarlo YERKES
IPC: H04N23/60 , G06F3/048 , G06F3/04845 , G06F3/0488 , G06T7/20 , G06T7/70 , G06T13/40 , G06T19/20 , G06V40/16 , H04N23/611 , H04N23/62 , H04N23/63
CPC classification number: H04N23/64 , G06F3/048 , G06F3/04845 , G06F3/0488 , G06T7/20 , G06T7/70 , H04N23/611 , H04N23/631 , G06T13/40 , G06T19/20 , G06T2207/30196 , G06T2207/30244 , G06V40/168 , H04N23/62
Abstract: The present disclosure generally relates to creating and editing user avatars. In some examples, guidance is provided to a user while capturing image data for use in generating a user-specific avatar. In some examples, a user interface allows a user to intuitively customize a user avatar. In some examples, avatars are generated for a messaging session based on an avatar model for a user of the messaging application. In some examples, an avatar editing interface updates a user avatar in response to gestures and based on the type of gesture and the avatar feature that is selected for editing.
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公开(公告)号:US12046238B2
公开(公告)日:2024-07-23
申请号:US18046624
申请日:2022-10-14
Applicant: The Notebook, LLC
Inventor: Karen Elaine Khaleghi
CPC classification number: G10L15/22 , G06V40/168 , G10L15/26 , G10L25/63 , G10L25/66 , G10L25/90 , B60K28/06 , G10L2015/223
Abstract: Systems and methods are disclosed configured to detect impairment issues, and via an interlock device, inhibit operation of an item of equipment when impairment is detected. The interlock device may comprise a solid state relay, an electromechanical relay, and/or a solenoid. The interlock device may perform power isolation and/or may use a mechanism, such as a rotating cam or gear, to immobilize a control and/or other components. Based on detected impairment, a determination is made as to whether the interlock is to be activated or deactivated.
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117.
公开(公告)号:US20240242430A1
公开(公告)日:2024-07-18
申请号:US18458174
申请日:2023-08-30
Applicant: BOE Technology Group Co., Ltd.
CPC classification number: G06T17/00 , G06T5/50 , G06T7/73 , G06T13/40 , G06T19/20 , G06V40/103 , G06V40/168 , G06V40/174 , G06T2207/20221
Abstract: Disclosed are a model reconstruction method, a model processing method and apparatus, a device, a system, and a medium. The model reconstruction method includes: acquiring a human body image; generating a first three-dimensional facial model based on a first partial image in the human body image and generating a three-dimensional body model, wherein the first partial image includes facial features; preprocessing the first three-dimensional facial model and obtaining a second three-dimensional facial model based on a preprocessing result; and splicing the second three-dimensional facial model and the three-dimensional body model to obtain a spliced three-dimensional human body model.
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公开(公告)号:US20240241988A1
公开(公告)日:2024-07-18
申请号:US18619849
申请日:2024-03-28
Applicant: Intel Corporation
Inventor: Ilil Blum Shem-Tov , Miriam Engel , Viki Almog-Ayzenberg , Dan Horovitz , Ilya Nelkenbaum
CPC classification number: G06F21/6254 , G06T5/70 , G06V10/56 , G06V40/168 , G06V40/178
Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed. An example includes interface circuitry to access an image frame from a video stream during a presentation of the video stream, the image frame depicting a face; machine-readable instructions; and at least one processor circuit to be programmed by the machine-readable instructions to: determine that the face is associated with at least one of a person-specific privacy policy or a group privacy policy; obtain an obfuscation rule from the at least one of the person-specific privacy policy or the group privacy policy; determine an obfuscation state for the face in the video stream based on at least one of the obfuscation rule or a system operator policy; and cause the presentation of the video stream to depict the face based on the obfuscation state.
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119.
公开(公告)号:US12041382B2
公开(公告)日:2024-07-16
申请号:US17982057
申请日:2022-11-07
Inventor: Yoshiaki Satou , Kazuko Nishimura , Yasuo Miyake , Osamu Shibata , Hiroshi Iwai
IPC: H04N5/33 , G03B7/16 , G03B11/04 , G06V10/143 , G06V10/147 , G06V10/50 , G06V10/60 , G06V20/56 , G06V20/59 , G06V30/224 , G06V40/16 , H04N23/10 , H04N23/60 , H04N23/73 , H04N23/74 , H04N23/76
CPC classification number: H04N5/33 , G03B7/16 , G03B11/045 , G06V10/143 , G06V10/147 , G06V10/50 , G06V10/60 , G06V20/588 , G06V20/597 , G06V30/224 , G06V40/168 , H04N23/10 , H04N23/60 , H04N23/73 , H04N23/74 , H04N23/76
Abstract: An imaging device including a first filter that passes a first light and a second light; a second filter that blocks the second light; photoelectric converters that have sensitivity to the first light and the second light; and a processor, in which one of the photoelectric converters detects a light passing through the first filter to generate a first signal, one of the photoelectric converters detects a light passing through the first filter and the second filter to generate a second signal, and the processor performs the second light sensing based on the first signal and the second signal.
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公开(公告)号:US12039449B2
公开(公告)日:2024-07-16
申请号:US17119381
申请日:2020-12-11
Inventor: Seong-Jin Park , Sung Ju Hwang , Seungju Han , Insoo Kim , Jiwon Baek , Jaejoon Han
IPC: G06N3/08 , G06F17/18 , G06F18/10 , G06F18/213 , G06F18/2415 , G06F18/2431 , G06N3/082 , G06V10/44 , G06V10/764 , G06V10/774 , G06V40/16
CPC classification number: G06N3/082 , G06F17/18 , G06F18/10 , G06F18/213 , G06F18/2415 , G06F18/2431 , G06N3/08 , G06V10/454 , G06V10/764 , G06V10/774 , G06V40/168 , G06V40/174
Abstract: A processor-implemented neural network method includes: extracting, by a feature extractor of a neural network, a plurality of training feature vectors corresponding to a plurality of training class data of each of a plurality of classes including a first class and a second class; determining, by a feature sample generator of the neural network, an additional feature vector of the second class based on a mean vector and a variation vector of the plurality of training feature vectors of each of the first class and the second class; and training a class vector of the second class included in a classifier of the neural network based on the additional feature vector and the plurality of training feature vectors of the second class.
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