The abnormal behavior analysis of single person on the road based on region and behavior features

In this paper, a method to detect whether the behavior of a single person in video sequence is abnormal is proposed. Firstly, after the pre-processing, the background model is gotten based on the Mixture Gaussian Model(GMM), at the same time the shadow is eliminated; then use the color-shape information and the Random Hough Transform (RHT) to abstract the zebra crossing and segment the background; Lastly, we use the rectangle and the centroid to judge whether the person's behavior is abnormal.