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Group personnel behavior recognition method and device and computer storage medium

A recognition method and behavior technology, applied in computer parts, calculation, character and pattern recognition, etc., can solve problems such as high stability requirements, and achieve high accuracy.

Pending Publication Date: 2020-01-07
SHANGHAI YITU NETWORK SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] However, the existing technology has high requirements for the stability of the background outside the crowd

Method used

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  • Group personnel behavior recognition method and device and computer storage medium
  • Group personnel behavior recognition method and device and computer storage medium
  • Group personnel behavior recognition method and device and computer storage medium

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Experimental program
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Embodiment Construction

[0036] specific implementation plan

[0037] The application will be described in detail below in conjunction with the accompanying drawings and specific embodiments, so as to better understand the purpose, features and advantages of the application. It should be understood that the aspects described below in conjunction with the drawings and specific embodiments are only exemplary, and should not be construed as any limitation on the protection scope of the present application. The singular forms "a", "an" and "the" include plural referents unless the context clearly dictates otherwise. As used in this application, the terms "first" and "second" are used interchangeably to distinguish one or one class of elements from another or another class, respectively, and are not intended to denote the position of separate elements or importance.

[0038] Such as figure 1 As shown, it is a schematic flowchart of a group behavior recognition method according to an embodiment of the pr...

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PUM

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Abstract

The invention discloses a group personnel behavior recognition method and device and a computer storage medium. The method comprises the steps: obtaining all video frames of a video stream in a certain time period, and determining a preset number of continuous video frames with the number of human body images greater than or equal to a first threshold value; performing crowd behavior classification on the human body images included in each video frame of the continuous predetermined number of video frames; determining whether the number of the human body images of the category with the most human body images included in each video frame of the continuous predetermined number of video frames is greater than or equal to a second threshold; if yes, determining that a group personnel behavioroccurs; and if the number of the human body images of the category with the most human body images included in each video frame of the continuous predetermined number of video frames is smaller than asecond threshold value, determining that no group personnel behavior occurs. According to the group personnel behavior recognition method and device, group unconventional behaviors can be recognizedwith high sensitivity, background stability does not need to be considered, and accuracy is high.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence (AI), in particular to a method, device and computer storage medium for behavior recognition of group personnel. Background technique [0002] With the development and application of computer science and artificial intelligence, video analysis technology has risen rapidly and received widespread attention. A core of video analysis is human behavior recognition. Human behavior recognition has a wide range of applications in technology and life, such as video surveillance, human-computer interaction, intelligent robots, virtual reality, and video retrieval. Therefore, intelligent human body recognition technology has great potential. High research value and application prospect. [0003] Human body recognition technology is mainly to collect the main key points of the human body, including: left and right elbows, left and right wrists, left and right shoulders, top of th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/53
Inventor 王烨王琦杨忠程
Owner SHANGHAI YITU NETWORK SCI & TECH