Intelligent network video monitoring technology

Abstract

The invention discloses intelligent network video monitoring technology comprising video monitoring technology, wherein the video monitoring technology comprises three levels: a bottom layer for mainly obtaining an image sequence from a video image collection terminal and detecting and tracking an interesting target to perform subsequent processing and analysis on the target; a middle layer for extracting all kinds of information of the moving target on the basis of the bottom layer and performing related judgment, and this part of contents also comprises target identification; and a high layer for analyzing and understanding the behaviors of the target. The intelligent network video monitoring technology is used for monitoring the target, so that a computer answers the position information of the target, the behavior and even predicts the next behavior of the interesting target without manual real-time monitoring.

Description

technical field [0001] The invention relates to an electronic device, in particular to an intelligent network video monitoring technology. Background technique [0002] In today's society, with a large population, there are many potential safety hazards. With the improvement of people's safety requirements and economic conditions, the number of surveillance cameras is growing faster and faster, and the coverage is wider and wider. Traditional video Monitoring only provides simple functions such as video capture and storage box playback, which are used to record what happened, and it is difficult to play the role of early warning and alarm. To ensure real-time monitoring of abnormal behavior and take effective measures in a timely manner, monitoring personnel need a moment Continuously monitor the video. In this case, the monitoring personnel are prone to fatigue, especially when faced with multi-channel monitoring video, they are often dizzy and difficult to respond to abnor...

AI Technical Summary

Problems solved by technology

[0006] A. The bottom layer is mainly to obtain the image sequence from the video image acquisition terminal, detect and track the target of interest, so as to perform subsequent processing and analysis on the target, and mainly solve the problem of where the target is. The target detection part in this paper can be divided into target construction Model and background modeling, target tracking is to obtain the activity time, position, direction, speed, size, color, etc. of the moving target, which can be divided into single-scene target tracking and cross-scene target tracking;