Moving objects detection based on background subtraction method
Xiao Chun-li · Applied science and technology · 2009
A detection algorithm of moving objects based on background subtraction method was proposed for a video surveillance system with static camera.Background without moving objects was got from video sequences,and then moving objects were detected based on background subtraction method.To define the threshold,instead of using the experimental method which needs continual adjustment,a dynamic threshold concept was proposed to enhance detection effect and thus increase the possibility of implementation.The detection that integrates Gauss model concerning background renewal of calculation,overcomes the error resulted from the sudden change of background.Test result indicates that by combing background subtraction with Gauss model,the proposed detection method has better adaptability when constructing background in the serial video frequencies which have many indefinite factors.This method can respond to actual changes of the scene rapidly,providing necessary basis for accurately detecting the moving objects.