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

technical field [0001] The invention relates to the technical field of intelligent monitoring and behavior recognition systems, in particular to an intelligent video monitoring system capable of automatically detecting threats, which can detect, track, classify and analyze scenes. Background technique [0002] Intelligent video surveillance system generally has two working modes: [0003] Real-time monitoring mode, designed to quickly detect targets to prevent emergencies. [0004] The background mode is designed for post-processing and analysis, that is, on-site search and image recording after the accident. [0005] The first mode is mainly used to detect suspicious events, such as objects appearing suddenly, suspicious human behavior, theft, crowd disturbance, illegal parking, etc. The second mode is mostly commercial intelligent applications, such as detecting customer behavior and employee work efficiency in supermarkets and shopping malls. [0006] Existing intellig...

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 anomaly detection systems, ensuring real-time performance is also a difficulty

Because the classification method is relatively complicated, it is impossible for ordinary users to design relevant definition rules by themselves, so the functions of behavior recognition and anomaly detection are still not achieved in essence.

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