Multi-target Tracking Based on Fusion of ROI Feature Matching
基于ROI特征匹配融合的图像多目标跟踪算法

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,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.