Research on Occlusion in the Multiple Vehicle Detecting and Tracking System
Ping Fu, Weijia Liu, Dingyü Xue, Xinhe Xu, Daoxiang Gao · 2006
A detection algorithm based on the occlusion reasoning and partial division block template matching is proposed since the occluded target can not be located accurately by the common located algorithm during tracking process. Locating target accurately is critical factors that affect the tracking performance and reliability. Occlusion reasoning method provides the occlusion alarm status of multiple targets in the frame t. By using the predicted information, the occlusion status is verified once again in the frame (t+1). If the occlusion status is enabled, partial division block template matching technique is employed. Using these algorithms, we can obtain the reliable locations of occluded objects respectively. Finally, the proposed algorithms are applied to real image sequences. Experimental results on the high way and urban road demonstrate the usefulness of the proposed method