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Abnormal behavior detection method and device, electronic equipment and storage medium

A detection method and behavior technology, applied in the field of information processing, can solve the problems of difficult collection of training samples and unfavorable training of abnormal behavior detection models, so as to improve the classification accuracy, save manual labeling, and reduce the effect of difficult acquisition

Pending Publication Date: 2022-07-08
POTEVIO INFORMATION TECH CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The present invention provides an abnormal behavior detection method, device, electronic equipment and storage medium, which are used to solve the problem in the prior art that abnormal behavior training samples are difficult to collect and are not conducive to training abnormal behavior detection models

Method used

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  • Abnormal behavior detection method and device, electronic equipment and storage medium
  • Abnormal behavior detection method and device, electronic equipment and storage medium
  • Abnormal behavior detection method and device, electronic equipment and storage medium

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Embodiment Construction

[0049] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0050] figure 1 is a schematic flowchart of the abnormal behavior detection method provided by the present invention, such as figure 1 shown, including:

[0051] Step S1, input the abnormal behavior video image into the trained abnormal behavior detection model to obtain the abnormal behavior detection result;

[0052] Wherein, the trained abnormal behavior detection model is obtained by inputting abnormal behav...

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Abstract

The invention provides an abnormal behavior detection method and device, electronic equipment and a storage medium, and the method comprises the steps: inputting an abnormal behavior video image into a trained abnormal behavior detection model, and obtaining an abnormal behavior detection result; wherein the trained abnormal behavior detection model is obtained by inputting an abnormal behavior video sample image into a preset fusion network for training; wherein the abnormal behavior video sample image carries an abnormal behavior region information weak label; wherein the preset fusion network is obtained by fusing a classification model and a target detection model. According to the trained abnormal behavior detection model, the classification model and the detection model are fused to form a deep learning framework, and the detection model is used as a weak supervision model to assist in completing the task of image classification, so that excessive manual annotation is omitted, the classification model does not lose key information of a shallow network, and the detection efficiency is improved. Therefore, the classification accuracy of the model is improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, and in particular, to a method, device, electronic device and storage medium for detecting abnormal behavior. Background technique [0002] With the progress of society and the development of science and technology, video surveillance has penetrated into various fields such as transportation, community, and industry, and algorithms for monitoring abnormal video behaviors based on deep learning have also been applied and developed. [0003] Deep learning learning based on a large number of samples is robust to different environments. Abnormal behaviors are different from normal behaviors, which refer to behaviors that are unfavorable to social security and the current environment or rarely occur, such as fighting, smoking, and falling. Due to the characteristics of abnormal behavior itself, the data of abnormal behavior is small and difficult to collect, which is not conduc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/20G06V10/764G06V10/774G06V10/82G06K9/62G06N3/08
CPCG06N3/08G06F18/24G06F18/214
Inventor 王楠胡静
Owner POTEVIO INFORMATION TECH CO LTD
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