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公开(公告)号：US10860844B2
公开(公告)日：2020-12-08
申请号：US16098648
申请日：2016-06-02
Applicant: INTEL CORPORATION
Inventor： Shaopeng Tang , Anbang Yao , Yurong Chen
Abstract: Techniques are provided for recognition of activity in a sequence of video image frames that include depth information. A methodology embodying the techniques includes segmenting each of the received image frames into a multiple windows and generating spatio-temporal image cells from groupings of windows from a selected sub-sequence of the frames. The method also includes calculating a four dimensional (4D) optical flow vector for each of the pixels of each of the image cells and calculating a three dimensional (3D) angular representation from each of the optical flow vectors. The method further includes generating a classification feature for each of the image cells based on a histogram of the 3D angular representations of the pixels in that image cell. The classification features are then provided to a recognition classifier configured to recognize the type of activity depicted in the video sequence, based on the generated classification features.
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公开(公告)号：US10402633B2
公开(公告)日：2019-09-03
申请号：US15521512
申请日：2016-05-23
Applicant: Intel Corporation
Inventor： Shaopeng Tang , Yurong Chen
IPC: G06K9/00 , G06T7/11 , H04N7/18 , H04N13/204
Abstract: The present disclosure describes a non-learning based process and apparatus for detecting humans in an image. This may include receiving an image that has pixel distance information from a camera and using that to determine a height of the pixel above a ground surface. One or more regions may then be identified that may include a head and shoulders of an individual in the image. A multiple threshold technique may be used to remove some background regions, and a mean-shift technique used to find the local highest regions that may be combination of head and shoulders of the person. In embodiments, the view angle and/or the height of the camera may not be fixed.
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公开(公告)号：US11568682B2
公开(公告)日：2023-01-31
申请号：US17108256
申请日：2020-12-01
Applicant: INTEL CORPORATION
Inventor： Shaopeng Tang , Anbang Yao , Yurong Chen
Abstract: Techniques are provided for recognition of activity in a sequence of video image frames that include depth information. A methodology embodying the techniques includes segmenting each of the received image frames into a multiple windows and generating spatio-temporal image cells from groupings of windows from a selected sub-sequence of the frames. The method also includes calculating a four dimensional (4D) optical flow vector for each of the pixels of each of the image cells and calculating a three dimensional (3D) angular representation from each of the optical flow vectors. The method further includes generating a classification feature for each of the image cells based on a histogram of the 3D angular representations of the pixels in that image cell. The classification features are then provided to a recognition classifier configured to recognize the type of activity depicted in the video sequence, based on the generated classification features.
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