A Moving Objects Detection Approach for Smart Sensor

Background subtraction is a commonly used approach for moving objects detection. The modeling and updating of background, the effect of background disturb, illumination changes and shadows are the problems that must be considered in background subtraction method. This paper presents a novel moving object detection approach, which addresses all the problems presented above effectively. A statistical method is used to obtain the background model, which is updated real time in order to adapt to illumination changes and scene changes. After threshold operation, morphologic operation and connected region area measurement are introduced to solve background disturb problem. At last, shadows are detected using HSV color space information. Experimental results show that presented method is fast and effective