Video monitoring method and system

Abstract

The invention discloses a video monitoring method and a video monitoring system. The method comprises the following steps: S100, acquiring a video stream to be analyzed currently; S200, detecting whether a motion object exists in the video stream, if yes, carrying out background modeling, morphological process and eliminating shadow, if no, carrying out circular detection; S300, using a particle filtering or a Kalman filtering tracking method to track the motion object; S400, analyzing the shape information and motion characteristics of the motion object, analyzing abnormal situations by utilizing dispersion degree and area information, classifying the motion object and accomplishing abnormal action identification process analysis; and S500, making an emergency alarm when abnormal situation happens to the video stream. With the method in the invention, the motion object can be analyzed intelligently, multiple bottom layer calculation for one same video stream is carried out only once, and miss report and false report rate of abnormal action in monitoring can be reduced; and with the method. Besides, the method also can be linkaged with security, so that monitoring personnel can make response in time.

Description

technical field [0001] The invention relates to the technical field of intelligent video monitoring systems, in particular to a video monitoring method and system for managing and monitoring scene video streams through middleware technology to complete efficient intelligent monitoring. Background technique [0002] With the popularization and enlargement of surveillance systems, especially in recent years, the application of intelligent video surveillance systems has also been widely developed. Nowadays, with the development of video analysis technology, multimedia database, and artificial intelligence technology, intelligent video surveillance has gradually entered the security application market. Intelligent technology can timely and automatically extract a large amount of useful information from the original video information to complete video transmission. Saving and retrieval can also drive other data, trigger other behaviors, and easily complete tasks that are difficul...

AI Technical Summary

Problems solved by technology

[0003] However, the current intelligent video surveillance system essentially uses different algorithms to process and identify the video streams from the surveillance scene: crossing the warning line, entering the warning area, retrograde, theft, stranded, wandering, abnormal speed and abnormal density, etc. However, when it is necessary to identify multiple types of abnormal events from the same scene, a lot of video information is repeatedly processed, which increases the amount of calculation. Often a high-performance computer can only process a few video stream signals, especially When it is necessary to analyze a variety of abnormal events on a video signal, a high-performance computer is required for a video signal, which has caused great resistance to the application of large-scale intelligent video surveillance systems

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