Traffic video behavior analyzing and alarming server

Abstract

The invention discloses a traffic video behavior analyzing and alarming server, comprising a video source input unit, a central processing unit, an alarm unit, a display unit and a storage unit, wherein the video source input unit provides a plurality of paths of traffic video data streams to the central processing unit, the central processing unit simultaneously analyzes various traffic behavior violation on the plurality of paths of video data streams and triggers the alarming unit according to a traffic behavior violation analysis result, the alarm unit alarms in a set mode, the display unit displays the traffic videos and the traffic behavior violation analysis process and results in real time, and the storage unit stores the traffic video streams including whole vehicle violation processes, and the records of the violation analysis results. By means of the invention, various traffic behaviors (such as line crossing, retrogradation, illegal parking, traffic accidents and traffic flow statistics) in a plurality of paths of traffic video streams can be analyzed simultaneously and independently in real time, vehicle violation can be found out in all paths of traffic video streams in real time, and alarm treatment can be carried out in a very short time.

Description

technical field [0001] The invention belongs to the field of traffic monitoring and intelligent video analysis, in particular to a traffic video behavior analysis and alarm server, which performs various traffic behavior analyzes and alarms in real time according to traffic video streams. Background technique [0002] Intelligent video analysis refers to the extraction of useful information from video signals through practical computer technology, and real-time intelligent analysis of video content. Its essence is the process of the computer extracting and understanding the "useful content" in the video. The key to this process is that the computer analyzes, understands, recognizes and takes certain measures on specific events or specific behaviors of targets that occur in the video scene. [0003] With the increasing awareness of public transportation safety, the traffic monitoring system has made great progress and has been widely used. However, most video surveillance sy...

AI Technical Summary

Problems solved by technology

However, at present, most video surveillance systems do not have the ability to intelligently analyze video content, and all surveillance videos must be processed manually

However, relying on manpower to monitor the videos taken by many cameras has great limitations: first, human energy is limited, and it is impossible to pay attention to video information at any time; second, the video information is huge, and the shots displayed on the video wall at the same time are limited, often Some information worthy of attention will be missed; third, it is difficult to obtain comprehensive analysis of video information, which may easily lead to miscalculation of the situation

Since the video content analysis algorithm is usually complex and closely related to weather conditions and light changes, and there is no effective way to improve its parallelism, the current intelligent traffic monitoring system is often aimed at specific application scenarios and specific events, which is difficult to implement. to multi-way parallel analysis

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