Updating Algorithm of Gaussian Mixture Model Based on Histogram Comparison

An updating method called Histogram Comparison Gaussian Mixture Model(HCGMM) is proposed to reduce the affection of target detection in the presence of large illumination changes and background variations.To begin with,the method constructs the intensity histograms for each frame in the time window,and then,calculates the values of comparison between the two intensity histograms of images in the time window.Using the values just calculated,it updates the parameters of the Gaussian Mixture Models(GMM).Experimental result shows that the method can reconstruct background accurately and extract the target integrally in the presence of large illumination changes and background variations.