Vehicle Trajectory Description for Traffic Events Detection

The trajectory of moving object is a significant feature for events detection in intelligent video surveillance. In this paper, a novel method of trajectory description is proposed to establish the semantic model for automatic traffic violation events detection. Firstly, using polynomial fitting, we classify a trajectory into two shapes: straight line and parabola, which is used to determine the vehicle’s route type: straight, left/right-turn, or U-turn. In the meantime, a region description scheme is also developed to explore the path that one vehicle has passed through, which can be taken as the evidence for traffic event decision. Experiments results showed that the proposed scheme was more efficient and more accurate than the traditional MPEG-7 method.

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