Moving Objects Detection Method Based on Statistical Background Model

Moving objects detection is an important research aspect of computer vision and video processing. Background subtraction is a commonly used method. The abstraction and update 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 an effective moving objects detection method, which solves 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, shadow is detected using HSV color space information. Experiment results show that presented method is fast and effective .