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公开(公告)号：US20240346809A1
公开(公告)日：2024-10-17
申请号：US18574935
申请日：2022-01-07
Applicant: Intel Corporation
Inventor： Ping GUO , Mee Sim LAI , Kuan Heng LEE , Wee Hoo CHEAH , Jason GARCIA , Liang QIU , Peng WANG , Jiajie WU , Xiangbin WU
IPC: G06V10/776 , G06V10/70 , G06V10/77 , G06V10/774 , G06V10/82 , G06V20/40 , G09B19/00
CPC classification number: G06V10/776 , G06V10/768 , G06V10/7715 , G06V10/774 , G06V20/41 , G06V20/44 , G06V20/49 , G09B19/003 , G06V10/82
Abstract: The application provides an apparatus and a method for procedural video assessment. The apparatus includes: interface circuitry; and processor circuitry coupled to the interface circuitry and configured to: perform an action segmentation process for a procedural video received via the interface circuitry to obtain a plurality of action features associated with the procedure video; transform the plurality of action features into a plurality of action-procedure features based on an action-procedure relationship learning module for discovering a relationship between the plurality of action features and a plurality of scoring oriented procedures associated with the procedure video; and perform a procedure classification process to infer the plurality of scoring oriented procedures from the plurality of action-procedure features.
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Patent Agency Ranking
公开(公告)号：US20240161494A1
公开(公告)日：2024-05-16
申请号：US18548585
申请日：2021-06-22
Applicant: Intel Corporation
Inventor： Ping GUO , Sangeeta MANEPALLI , Lidan ZHANG , Peng WANG , Yimin ZHANG
CPC classification number: G06V10/98 , G06T5/50 , G06T5/73 , G06T7/70 , G06V10/7715 , G06V10/82 , G06V40/28 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/20201 , G06T2207/30196 , G06T2207/30244
Abstract: Disclosed herein is a gesture recognition device that includes an input interface configured to receive a sequence of images, each image showing a body part with which a gesture is performed from a viewpoint of a camera. The gesture recognition device also generates a sequence of motion-compensated images from the sequence comprising generating a motion-compensated image for an image of the sequence by compensating the movement of the camera viewpoint from a reference camera viewpoint to the viewpoint from which the image shows the body part based on the image and a motion-compensated image of the sequence generated for a preceding image of the sequence which precedes the image in the sequence and estimate the gesture from the sequence of motion-compensated images.
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公开(公告)号：US20230206612A1
公开(公告)日：2023-06-29
申请号：US17999709
申请日：2020-06-24
Applicant: Intel Corporation
Inventor： Sangeeta Ghangam MANEPALLI , Siew Wen CHIN , Ping GUO , Qi SHE , Yingzhe SHEN , Lidan ZHANG , Yimin ZHANG
IPC: G06V10/80 , G06V40/16 , G06V10/774 , G06V10/776 , G06V10/62
CPC classification number: G06V10/809 , G06V10/62 , G06V10/774 , G06V10/776 , G06V40/161
Abstract: Disclosed herein are systems, methods, and devices for using adaptive learning to identify objects. An object-identifying device performs a first object identification based on one or more features of a first modality of an object retrieved from an image frame including the object and a first database including first modality identification features. A second object identification is performed based on one or more features of a second modality of the object retrieved from the image frame and a second database including second modality identification features. The second database is updated by adaptively learning a new second modality identification feature according to a first identification result of the first object identification. The second object identification is trained with the updated second database and determines a final identification result by integrating a first identification result of the first object identification and a second identification result of the second object identification.
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公开(公告)号：US20210248427A1
公开(公告)日：2021-08-12
申请号：US17053720
申请日：2018-10-26
Applicant: Intel Corporation
Inventor： Ping GUO , Lidan ZHANG , Haibing REN , Yimin ZHANG
Abstract: A system, article, and method of neural network object recognition for image processing includes customizing a training database and adapting an instance segmentation neural network used to perform the customization.
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公开(公告)号：US20210174134A1
公开(公告)日：2021-06-10
申请号：US16768559
申请日：2018-03-01
Applicant: Intel Corporation
Inventor： Yimin ZHANG , Haibing REN , Wei HU , Ping GUO
Abstract: Methods and apparatus to match images using semantic features are disclosed. An example apparatus includes a semantic labeler to determine a semantic label for each of a first set of points of a first image and each of a second set of points of a second image; a binary robust independent element features (BRIEF) determiner to determine semantic BRIEF descriptors for a first subset of the first set of points and a second subset of the second set of points based on the semantic labels; and a point matcher to match first points of the first subset of points to second points of the second subset of points based on the semantic BRIEF descriptors.
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公开(公告)号：US20210312642A1
公开(公告)日：2021-10-07
申请号：US17057084
申请日：2019-01-03
Applicant: Intel Corporation
Inventor： Lidan ZHANG , Ping GUO , Haibing REN , Yimin ZHANG
Abstract: A long-term object tracker employs a continuous learning framework to overcome drift in the tracking position of a tracked object. The continuous learning framework consists of a continuous learning module that accumulates samples of the tracked object to improve the accuracy of object tracking over extended periods of time. The continuous learning module can include a sample pre-processor to refine a location of a candidate object found during object tracking, and a cropper to crop a portion of a frame containing a tracked object as a sample and to insert the sample into a continuous learning database to support future tracking.
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