The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 30, 2022

Filed:

Sep. 16, 2020
Applicant:

Beijing Baidu Netcom Science Technology Co., Ltd., Beijing, CN;

Inventors:

Zhizhen Chi, Beijing, CN;

Fu Li, Beijing, CN;

Hao Sun, Beijing, CN;

Dongliang He, Beijing, CN;

Xiang Long, Beijing, CN;

Zhichao Zhou, Beijing, CN;

Ping Wang, Beijing, CN;

Shilei Wen, Beijing, CN;

Errui Ding, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/20 (2022.01); G06F 3/01 (2006.01); G06N 3/02 (2006.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 40/20 (2022.01); G06F 3/011 (2013.01); G06F 3/017 (2013.01); G06N 3/02 (2013.01); G06V 20/46 (2022.01);
Abstract

The present application discloses a video-based human behavior recognition method, apparatus, device and storage medium, and relates to the technical field of human recognitions. The specific implementation scheme lies in: acquiring a human rectangle of each video frame of the video to be recognized, where each human rectangle includes a plurality of human key points, and each of the human key points has a key point feature; constructing a feature matrix according to the human rectangle of the each video frame; convolving the feature matrix with respect to a video frame quantity dimension to obtain a first convolution result and convolving the feature matrix with respect to a key point quantity dimension to obtain a second convolution result; inputting the first convolution result and the second convolution result into a preset classification model to obtain a human behavior category of the video to be recognized.


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