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Behavior recognition method and device, terminal equipment and storage medium

A recognition method and behavior technology, applied in the field of computer vision, can solve problems such as coherent and complex actions that do not meet the recognition conditions, and achieve the effect of improving the application effect

Pending Publication Date: 2022-07-19
SHENZHEN YEAHKA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing behavior recognition technologies generally work based on a single view and the current frame, and cannot achieve multi-target multi-view tracking through information sharing between views and information processing of continuous multi-frames. In addition, the processing of the current frame can only identify Simple movements do not have the recognition conditions for coherent and complex movements
In summary, there is currently a lack of a multi-target multi-view complex behavior recognition solution

Method used

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

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Embodiment Construction

[0044] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0045] The main solutions of the embodiments of the present invention are: acquiring a target image; extracting the features of the target image through a pre-created feature extraction model to obtain several feature vectors, and obtaining multiple targets by matching and clustering the several feature vectors Multi-view tracking result; processing the target image through a pre-created behavior recognition model to obtain a behavior recognition result; combining the multi-target multi-view tracking result with the behavior recognition result to obtain a multi-target multi-view behavior recognition result. Based on the solution of the present application, on the basis of acquiring the target image and creating the processing model, the multi-target multi-view tracking result and the behavior recognition result a...

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Abstract

The invention discloses a behavior recognition method and device, terminal equipment and a storage medium. The behavior recognition method comprises the steps that a target image is acquired; extracting features of the target image through a pre-created feature extraction model to obtain a plurality of feature vectors, and obtaining a multi-target multi-view tracking result through matching and clustering of the plurality of feature vectors; processing the target image through a pre-created behavior recognition model to obtain a behavior recognition result; and combining the multi-target multi-view tracking result with the behavior recognition result to obtain a multi-target multi-view behavior recognition result. According to the invention, multi-target multi-view complex behavior recognition is realized, and the application effect of a behavior recognition technology is improved.

Description

technical field [0001] The present invention relates to the field of computer vision, and in particular, to a method, device, terminal device and storage medium for behavior recognition. Background technique [0002] Behavior recognition is an important branch of computer vision technology, which is usually applied to video surveillance. When abnormal behavior is detected, a warning will be issued to remind relevant managers. Behavior recognition greatly expands the role and capability of the video surveillance system, makes the surveillance system more intelligent, and reduces resource and personnel allocation. [0003] The existing behavior recognition technology generally works based on a single view and the current frame, and cannot achieve multi-target and multi-view tracking through information sharing between views and information processing of consecutive multiple frames. In addition, the processing of the current frame can only identify Simple actions do not have t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/40G06V40/20G06K9/62
CPCG06F18/23
Inventor 刘颖麒陈文华
Owner SHENZHEN YEAHKA TECH