Multi-layer real time forewarning system based on the intelligent video monitoring

Abstract

The invention relates to an intelligent early warning system, especially a multiple layered real-time early warning system based on target detection, positioning, class recognition of intelligent video analysis and based on network management. The system comprises five portions: a video collecting unit, a video processing unit, an action recognition module based on a rule, a network management platform and an alarming module. The method comprises: 1, a user appointing an early warning rule for every vidicon on the network management platform, realizing a multiple layered real-time early warning mechanism; 2, in the video processing unit, dividing a video sequence into three paths, wherein a path is used for coding and compressing, a path is used for scene analysis, and a path is used for background modeling, the video processing unit has encoding and compressing functions, can obtain a traget track after video analysis; 3, transmitting the traget track via a network to the action recognition module, and performing action recognition according to the rule defined by the user.

Description

technical field [0001] The invention relates to the technical field of intelligent early warning systems, in particular to a multi-level real-time early warning system based on intelligent video analysis for target detection, positioning, classification and identification, and network management. [0002] The information sources of the real-time early warning system include various sensors and network information. The early warning objects of the real-time early warning system are different levels of abnormal situations that occur in various scenarios. [0003] The sensor used in the present invention is a vision sensor. The methods used include target detection, target tracking, target classification, scene calibration, reasoning-based information fusion, and rule-based behavior recognition in static scenes. Alert objects are all occasions where alert rules can be defined at multiple levels. Background technique [0004] Most of the current early warning systems are base...

AI Technical Summary

Problems solved by technology

When it is necessary to query specific video content, it is necessary to use manual methods to query the video library, which is time-consuming and laborious

More importantly, when an abnormal situation occurs in the monitoring scene, the traditional monitoring system cannot give early warning in time, usually through other methods to call the police, and then manually query the monitoring video for evidence collection

Therefore, the current monitoring system is mainly used for video recording, post-event inquiry and evidence collection, and does not have a real early warning function

Images