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In traffic surveillance system, it is still a challenging issue to track an occluded vehicle continuously and accurately, especially under total occlusion situations. Occlusion judgment is critical in occluded target tracking. An occlusion judgment scheme with joint parameters is proposed for target tracking method based on particle filter. A corner matching method is utilized to improve the accuracy of target position and velocity estimation due to structure information, thus obtain a more accurate weight value which can reflect the real target’s status. By analyzing the internal relation between the weight value and the particles distribution region based on resample function of particle filter, a new parameter with good performance is proposed to improve the occlusion detection efficiency.

A Robust Occlusion Judgment Scheme for Target Tracking Under the Framework of Particle Filter