Abstract: Accurate detection of the moving object is the pre-step of many video analysis technology．This paper put forward a moving object detection algorithm based on background subtraction,which transforms texture feature using a scale variant local ternary pattern operation(SILTP),and initializes the background model by using the composed texture value directly for the first frame of video sequences,rather than computing the distribution,finally updates the background model combining randomly substitute strategy with space information of the pixels．The testing results on the wallflower dataset show that this algorithm has better detection results compared with the other ones,not only sa-tisfies for real-time,but also has a strong robustness in shadow suppression and illumination variation.

Key words: Moving object detection,Background subtraction,Scale invariant local pattern(SILTP),Texture,Background model