Abstract:

As the video vehicle tracking is of great importance to the traffic monitoring, a statistical background extraction method combined with the virtual detection line is p video vehicles. Then, the background difference method is employed to extract the information of moving vehicles, and the SUSAN algorithm is adopted to extract the comer feature in the moving vehicle region. Moreover, the reinforcement learning theory with high searching efficiency is applied to the video vehicle tracking. Experimental results show that the proposed method helps to obtain satisfying tracking results due to its good stability and high tracking accuracy.

Key words: traffic monitoring, reinforcement learning, vehicle tracking, background extraction, SUSAN algorithm