Object Tracking Based on Local Feature Matching
The feature extraction was analyzed and matching algorithms of object tracking, then we develop an object tracking method based on local feature matching in this paper. First we introduce about the existing feature extraction algorithms and the basic idea of Shape Context. Then we propose the tracking algorithm based on local characteristics. In this algorithm, we evaluate the similarity between the two feature points by histogram distance statistics based on χ2-test and we determine the tracking trajectory by votes and prediction to the matching points. It is better matched in target deformation, rotation and occlusion by using this method. The experiment results show that our object matching method is effective.
shape context feature matching votes and prediction object tracking
Qinkun Xiao Xiangjun Liu Mina Liu
Department of Electronics Information Engineering Xian Technological University Xian, China, 710032
国际会议
杭州
英文
399-402
2012-10-28（万方平台首次上网日期，不代表论文的发表时间）