Large-amplitude regular movement background intelligent analysis and control system

Abstract

The invention provides a large-amplitude regular movement background intelligent analysis and control system, which comprises a characteristic database, a video collection module, a quality enhancing module, a foreground extracting module, a characteristics analysis module, a characteristics recognition module, a control trigger rule judging module and a real-time control platform, wherein the characteristic database comprises a plurality of target and / or behavior model characteristics; the video collection module is used for processing the collected video signal and for obtaining the digitalvideo sequence; the quality enhancing module is used for enhancing the quality of the video digital sequence; the foreground extracting module is used for eliminating the interference of the movementbackground and for extracting the foreground; the characteristics analysis module is used for the video digital sequence to perform the characteristic matching and classification; the characteristicsrecognition module is used for comparing the video object with a plurality of target and / or behavior model bank according to the parameters set by the user; the control trigger rule judging module isused for judging whether the rule is broken according to the rules and depth of field which are previously set by the user together with the video characteristics, and if the rule is broken, abnormalinformation is issued; and the real-time control platform is used for receiving the video analysis result and for issuing a control order according to the analysis result.

Description

technical field [0001] The invention relates to the fields of computer vision and artificial intelligence, especially the field of intelligent video monitoring, and proposes an intelligent analysis and control system for large-scale regular motion backgrounds. Background technique [0002] In recent years, with the development of science and technology, the public security video surveillance system is a powerful means to actively grasp and combat urban social security, such as establishing public security video surveillance at stations, docks, airports, ports, urban traffic arteries and entrances and exits. system, giving full play to the advantages of its modern technological prevention means is of great significance to maintaining social political and public security stability. [0003] The traditional video monitoring system is only equivalent to a video capture browser. The monitoring personnel need to conduct manual observation for a long time, and only rely on subjecti...

AI Technical Summary

Problems solved by technology

However, in some applications, the background may also be moving. For example, in the field of mining, there are usually large-scale machinery (such as kowtowers, excavators, kowtowers, excavators, screw rods) for continuous mechanical operations. It has caused a lot of interference to the monitoring of restricted areas, crossing the line, smoke, flames, sparks, remnants, item removal, wandering, etc. in this scene

[0005] For scenes with moving backgrounds in video sequences, the Gaussian Mixture Model (GMM) is a more classic method, but it only has good anti-interference ability for small fluctuations in pixels such as brightness fluctuations and slight vibrations. The anti-interference effect of the large-scale motion background is not ideal. In addition, if the number of Gaussian models is too large, the system performance will decrease due to the huge amount of calculation, and it cannot even meet the real-time requirements.

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