Foreground Target Detection Based on Gaussian Mixture Model and Codebook Algorithm
Jingjing Li · Jisuanji gongcheng · 2012
This paper proposes a foreground moving object detection method based on Gaussian Mixture Model(GMM) and codebook.It uses GMM to extract initial foreground object,learns the background in use of codebook.It associates the foreground object obtained by GMM with the object of codebook foreground,updates the parameters of Gaussian model and codebook adaptively,according to the ratio between the foreground in 2 adjacent frames,and gets the moving object.Experimental results show that the method can eliminate the shadow of the video sequence and ghosting effectively,as well as obtain the entire foreground object in real time.