A Moving Object Extracting System for Surveillance Based on Mixer Gaussian Probability Model

Now the working of video surveillance must depend on the man's real time observation of video.This paper designs and implements an adaptive moving object extracting system for surveillance,which explores mixer Gaussian probability process to model the video pixels,uses object spatial connectivity and mini size pixels constraints to reduc- ing noise.The system can effectively isolate the moving object from background and counts the moving object number.The good results of simulate experiments prove that the system is effective for surveillance.