A video analysis method based on mass crowd behaviors

Abstract

The invention belongs to the technical field of video analysis, and particularly relates to a video analysis method based on mass crowd behaviors, which comprises a data acquisition system for carrying out data acquisition on on-site picture data, a video recognition system for recognizing video detail contents and a data summary system for behavior identification. The system is provided with a data acquisition system for acquiring field picture data, a video recognition system for video detail content recognition and a data summary system for behavior identification, thus a user can carry outreal-time detection on a picture of a detection site, analyze the picture and extract characteristics of the picture; therefore, useful data can be extracted from the picture. According to the technical scheme, people can conveniently compare the extracted information with the data defined by themselves to judge whether the behavior of the crowd is abnormal or not, so that suspected feature points in the crowd can be provided, police officers can be assisted in the observation process with eyesight, and the labor intensity of the police officers is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of video analysis, and in particular relates to a video analysis method based on the behavior of a large number of people. Background technique [0002] Video analysis, video analysis technology is to use computer image vision analysis technology to analyze and track the targets appearing in the camera scene by separating the background and targets in the scene. According to the video content analysis function, users can preset different alarm rules in different camera scenes. Once the target violates the predefined rules in the scene, the system will automatically send out an alarm, and the monitoring workstation will automatically pop up the alarm information and When the warning sound is issued, the user can click on the alarm information to realize the reorganization of the alarm scene and take relevant measures. Video content analysis technology analyzes the video images of visual surveillance cameras,...

AI Technical Summary

Problems solved by technology

[0003] Nowadays, a large number of people gather in places such as stations and squares, and this is also the scene of crimes committed by criminals such as thieves. However, it is quite difficult to locate criminal suspects by simply relying on police officers to observe the video, which requires considerable energy. At the same time, it also requires rich experience, so there is an urgent need for an auxiliary method to analyze the video

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