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Patent Searching and Data


Title:
VIOLENT BEHAVIOR DETECTION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2021/051547
Kind Code:
A1
Abstract:
A violent behavior detection method, comprising: obtaining a scene image by means of a camera; inputting the scene image into a feature pyramid network, and obtaining a target human body from the scene image; performing human body pose estimation on the target human body by using a cascaded pyramid network to obtain a human body pose estimation result, wherein the cascaded pyramid network comprises a GlobalNet network and a RefineNet network; and matching the human body pose estimation result with violent behavior human body poses stored in a database so as to determine whether a violent behavior exists in the scene image according to a matching result, and classifying the violent behaviors. Embodiments of the present application further provide a violent behavior detection system, a computer device, and a readable storage medium. By means of the embodiments of the present application, human body key points can be successfully positioned, the identification accuracy is greatly improved, and a calculation amount is reduced.

Inventors:
WANG JIANZONG (CN)
WANG YIWEI (CN)
Application Number:
PCT/CN2019/117407
Publication Date:
March 25, 2021
Filing Date:
November 12, 2019
Export Citation:
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06K9/00
Foreign References:
CN109614882A2019-04-12
CN110021031A2019-07-16
CN108229445A2018-06-29
CN108764133A2018-11-06
Other References:
YILUN CHEN, ZHICHENG WANG, YUXIANG PENG, ZHIQIANG ZHANG, GANG YU, JIAN SUN: "Cascaded pyramid network for multi-person pose estimation", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 1 June 2018 (2018-06-01), pages 7103 - 7112, XP033473629
DENG YINONG, LUO JAINXIN , JIN FENGLIN: "Overview of Human Pose Estimation Methods Based on Deep Learning", COMPUTER ENGINEERING AND APPLICATIONS, vol. 55, no. 19, 12 August 2019 (2019-08-12), pages 22 - 42, XP055792554, ISSN: 1002-8331, DOI: 10.3778/j.issn.1002-8331.1906-0113
Attorney, Agent or Firm:
INTELLECPRO CHINA LIMITED (CN)
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