Intelligent video monitoring system based on behavior recognition

Abstract

The invention discloses an intelligent video monitoring system based on behavior recognition. The system can automatically monitor threats and carry out detection, track, classification and object analysis on a goal scene. The system is composed of five parts: a video collection module, a video treatment module, a behavior recognition module based on a Bayesian classification algorithm, an upper computer management platform and an alarm module. In the invention, an image treatment technology is adopted so that the image quality is improved; a moving object is separated through a method based on threshold segmentation and a background environment selection function is added; behavior recognition and anomaly detection are carried out through a behavior recognition rule based on a Bayesian classification method; the method is simple, the classification accuracy is high, and the classification speed is high; and the video monitoring system is controlled via an upper computer operating system so as to be convenient to operate and easy to expand.

Description

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AI Technical Summary

Problems solved by technology

[0008] 2. So far, there is no single mathematical function to describe normal behavior and abnormal behavior, usually many combined functions are used to describe

[0009] 3. An important difficulty in behavior recognition and anomaly detection is the lack of experimental reference data

[0010] 4. For behavior recognition and

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