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Unsupervised video anomaly detection method and device based on mask auto-encoder

An anomaly detection and self-encoder technology, applied in the field of video image processing, can solve the problems of low detection performance of abnormal events in surveillance video

Pending Publication Date: 2022-07-08
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, in the process of realizing the present invention, the inventor found that in the current unsupervised video anomaly detection technology, there is a technical problem of low detection performance of surveillance video anomaly events

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[0033] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the specification of the application are for the purpose of describing specific embodiments only, and are not intended to limit the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0035] During the research process of realizing the present invention, the inve...

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Abstract

The invention relates to an unsupervised video anomaly detection method and device based on a mask auto-encoder, and the method comprises the steps: carrying out the target detection of each frame of obtained monitoring video data, and extracting the image blocks of the corresponding positions of a detected foreground target in a current frame and a plurality of adjacent frames; constructing cubes according to the image blocks of each frame, and performing interval mask operation on each cube in a time domain; according to the space-time cubes and the optical flow cubes after the interval mask operation, prediction blocks of masked parts in the space-time cubes and the optical flow cubes are obtained through visual network prediction; respectively calculating the prediction loss of each space-time cube and each optical flow cube at the pixel level; and according to the prediction loss of each space-time cube and each optical flow cube, calculating to obtain an abnormal value score of each frame in the monitoring video data, and obtaining an abnormal event detection result of the video frame to which the abnormal value score belongs. And high-performance end-to-end video abnormal event detection is realized.

Description

technical field [0001] The invention belongs to the technical field of video image processing, and relates to an unsupervised video anomaly detection method and device based on a mask autoencoder. Background technique [0002] With the introduction and promotion of concepts such as "safe society" and "smart city", the security system has become an effective guarantee against the occurrence of public security incidents. One of the most important technologies in the security system is the analysis of massive surveillance video, which has gradually become an important research topic in the field of social security today. As one of the core technologies of surveillance video analysis, video anomaly detection (VAD) aims to intelligently identify abnormal events and suspicious behaviors from surveillance videos. The video anomaly detection technology can not only reduce the probability of false detection and missed detection caused by manual identification of massive data, but al...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/40G06N3/08G06N3/04
CPCG06N3/08G06N3/045
Inventor 王思齐胡婧韬余广祝恩蔡志平朱信忠
Owner NAT UNIV OF DEFENSE TECH
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