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Behavior recognition method and device, computer equipment and storage medium

A recognition method and behavior technology, applied in the field of behavior recognition, can solve the problems of low recognition efficiency and impossibility, and achieve the effects of improving efficiency, ensuring recognition accuracy, and shortening operation time

Pending Publication Date: 2022-07-29
深圳市爱深盈通信息技术有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a behavior recognition method, device, computer equipment and storage medium to solve the technical problem of low or unrealizable recognition efficiency on devices with complex network structures

Method used

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  • Behavior recognition method and device, computer equipment and storage medium
  • Behavior recognition method and device, computer equipment and storage medium
  • Behavior recognition method and device, computer equipment and storage medium

Examples

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Embodiment Construction

[0030] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

[0031] The technical solution of the present application can be applied to various scenarios requiring behavior identification or behavior monitoring. For example, it can be applied to a video platform for identifying behavior in a video to classify a video, or it can be applied to a video platform for identifying behavior in a video to classify bad behavior in a video Monitoring, alternatively, can be applied to video surveillance in public places to monitor illegal acts in public places, etc., not limited to the examples here.

[0032] The technical solutions of the present application can be specifically applied to various types of computer equipment, such as notebook computers, servers, and the like. In particular, the technical solutions of the present application can be applied t...

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Abstract

The invention provides a behavior recognition method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a plurality of frames of behavior video images; human skeleton point extraction is carried out on each frame of behavior video image to obtain human skeleton identification information corresponding to the multiple frames of behavior video images, and one piece of human skeleton identification information is used for indicating one human skeleton point in one frame of behavior video image; according to the human body skeleton identification information corresponding to the multiple frames of behavior video images, at least one skeleton time sequence diagram is constructed, and the skeleton time sequence diagram is used for reflecting position distribution information of different human body skeleton points in the same frame of behavior video image and time sequence change information corresponding to the human body skeleton points; and inputting the at least one skeleton sequence diagram into a behavior recognition model matched with the at least one skeleton sequence diagram to obtain a behavior type corresponding to the multiple frames of behavior video images. According to the technical scheme, the accuracy and operation efficiency of behavior recognition can be ensured.

Description

technical field [0001] The present application relates to the field of behavior recognition, and in particular, to a behavior recognition method, apparatus, computer equipment, and storage medium. Background technique [0002] In the field of computer vision processing, it is a common visual processing method to identify the content of an image or video through a pre-trained visual recognition model to determine the behavior of a living body (such as a person, an animal, etc.) in the image or video. application scenarios. [0003] In the current behavior recognition scheme, the network structure with time series relationship (such as long short term memory (LSTM) network, three-dimensional (3D) convolutional network, etc.) or graph convolutional network is generally used to extract features , which outputs the behavior category. These behavior recognition schemes can ensure the accuracy of behavior recognition, but these network structures are usually complex and contain m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/52G06V40/10G06V10/34G06V10/44G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241
Inventor 申啸尘周有喜
Owner 深圳市爱深盈通信息技术有限公司
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