Vehicle Abnormal Behavior Detection System based on Video

With reference to the common vehicle abnormal behaviors, the article presents a video-based vehicle abnormal behavior detection system. On the basis of background subtraction methods to detect vehicles, the vehicle tracking and abnormal behavior identification was realized by building up information chain of tracked vehicles. The system solves effectively the problems of traditional method, such as losing detection and wrong matching. The experiments showed that the system could not only detect vehicle abnormal behavior correctly, but also calculate the traffic flow and count the number of vehicles which broke traffic rules accurately.