Target location and tracking based on local background feature points

被引：1

作者：

Zhang T. ^{[1
]}

Ma Q. ^{[1
]}

机构：

[1] School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou

来源：

Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2016年 / 47卷 / 09期

关键词：

Local background feature; Mean shift; Particle filter; Target location; Target tracking;

D O I：

10.11817/j.issn.1672-7207.2016.09.018

中图分类号：

学科分类号：

摘要：

To solve the problems of multiple similar objects and camera motion in target tracking, a method of target location and tracking was proposed based on local background feature points. Firstly, a target position was predicted by considering the position relation between the target and the matched feature points surround target of previous image. Then candidate objects were searched starting from the predicted position by combining particle filter and mean shift. Finally, the similarity of each candidate object was weighed by the distance between candidate object position and predicted position. The final target was the candidate object with the highest similarity. The results show that the proposed algorithm can track targets accurately in the presence of surrounding similar objects, and it possesses strong robustness and good real-time performance. © 2016, Central South University Press. All right reserved.

引用

页码：3040 / 3049

页数：9

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