There are two problems when tracking multiple targets in sequence images. Firstly

the targets kinematic state cannot be estimated accurately when targets abrupt maneuver happens. Secondly

the image matching method cannot discriminate the targets which belong to the same category. To resolve above problems

〖JP3〗a novel multi target tracking method based on fusion of targets feature matching is proposed. On base of target detection in local standard deviation map(STDM)

the region of interests（ROI） image matching result is used to reduce the error of state estimation matching

and the state estimation matching is used to reduce the ambiguity of image matching. Under the global optimal association cost frame

fusion of above two matches is realized to improve the accuracy of tracking

which can resolve the complex multi target tracking problem availably.