Vision-based automatic incident detection system using image sequences for intersections

Traffic incident detection is one of the interesting fields of intelligent transportation system (ITS) which recently rapidly increasing interest in their used. In this paper, we proposed an incident detection system based on incident features and reporting traffic incident in a special intersection using machine vision algorithms. The first step in this algorithm after image sequences acquisition from the video image of CCD camera is vehicle detection. Then the incident features such as direction of the moving vehicles, traffic flow and the rate of changing speed will extract in order to achieve the detection results. Machine vision based algorithm has been used in order to develop the system for incident detection goal. This process gives the best result by total 97.8% of correct rate, 1.02 of false alarm rate and 30_(S) is the meantime to detect. The result shows that this algorithm has a good detection rate.