Abstract:

In order to improve the intelligence of ITS(Intelligent Traffic System), abnormal vehicles behaviors detection by means of the vehicles trajectory is proposed. The process is divided into three steps: target detection, tracking, vehicles trajectory analysis and vehicles behavior analysis. Firstly, the three frame difference method is used to achieve initially target location and the improved tracking algorithm based on Kalman predictor is used to track vehicle; then, the adaptive segmentation linear fitting algorithm based on the least squares method is used to achieve vehicle trajectory fitting quickly; finally, two parameters including the rate of velocity variation and the rate of direction variation are used to establish vehicle abnormal behavior detection model. Experiment result shows that the three high dangerous vehicle behaviors in the road surveillance videos can be detected quickly and effectively by the algorithms: sharp brake, sharp turn, and sharp turn brake.

Key words: target detection, target tracking, trajectory fitting, vehicle behavior detection