Built-in intelligent monitoring system for automatically detecting movement goal

Abstract

The invention discloses an embedded-type intelligent monitoring system for automatically detecting a moving target. The monitoring system comprises a video input device, a visual analytic system and a network input and output device. In order to detect the moving target with high precision on the highly real-time basis, the system adopts a method for realizing the real-time detection of the moving target by using a real-time visual analytical algorithm. The method is divided into two stages: a training stage and a detection stage. The obtained video data are divided into a stability area and a dynamic area by the system in the chroma and illumination space, the simple and rapid self-adopting signal Gaussian model is adopted in the stability area and the non-parametric model with complex calculations and high efficiency is adopted in the dynamic area. The system has the advantages of simple structure, high real-time degree and high precision, high expandability and multimeshed network access function, and effectively realizes the real-time detection function of the moving target.

Description

Technical field [0001] The invention belongs to the field of electronic equipment, and relates to an embedded intelligent monitoring system that automatically detects moving targets. Background technique [0002] With the rapid growth of the demand for video surveillance and the increasing scale of surveillance, manual surveillance is far from being able to meet surveillance requirements, and the "intelligence" of video surveillance systems has become more and more urgent. [0003] The continuous expansion of monitoring scale and the continuous increase of visual analysis tasks make the centralized visual analysis processing mode based on the PC central server present more and more prominent limitations-computer resources and network communication bandwidth are seriously insufficient, and more and more The front end of the camera performs real-time and efficient local processing of the surveillance video image, and only transmits the relevant alarm status and image data to the ce...

AI Technical Summary

Problems solved by technology

In order to effectively detect moving targets, the single Gaussian model adopted by S.J.Mc, S.Jabri et al. in the document "Tracking Groups of People", and C.Stauffer and W.E.L adopted in the document "Adaptive background mixture models for real-time tracking" The mixed Gaussian model of A.Elgammal, D.Harwood and others in the literature "Non-parametric Model for Background" and their improved models have been proposed, these modeling methods in some specific Better results can be achieved in the environment, but in the face of more complex scenes, either the effect will become worse, or the effect will be better but the amount of calculation and resource requirements are large, and it is difficult to meet real-time requirements. Its limitations in embedded intelligent vision analysis Sex is very obvious

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