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The efficient target tracking algorithm researches have become current research focus of intelligent robots. The main problems of target tracking process in mobile robot face environmental uncertainty. They are very difficult to estimate the target states, illumination change, target shape changes, complex backgrounds, and other factors and all affect the occlusion in tracking robustness. To further improve the target tracking's accuracy and reliability, we present a novel target trackingdoi:10.1155/2013/925341 pmid:24363779 pmcid:PMC3865687 fatcat:u7wu7mup4nbvdmskr574kfau3q