In this paper

a novel segmentation algorithm is proposed which is based on MOGs and interframe gradient information. Firstly

a primary foreground segmentation is obtained

where an adaptive MOGs(Mixture of Gaussians) is established for each pixel’s luminance; Secondly

luminance and chroma of each pixel change largely due to the abrupt illuminance change

which causes the mismatch between a pixel’s luminance and its MOGs

and causes the misclassification of a vast of background pixels as the foreground as well. To adapt to the illuminance sudden variation

an improved method using the interframe gradient information is adopted to correct the initial segmentation. Finally

morphological methods are used to remove shadows and isolated noise pixels. Experimental results on various video sequences show that thismethod is robust and of high segmentation accuracy.