Visual object tracking method based on local patch model and model update

被引：0

作者：

Hou, Zhi-Qiang ^{[1
]}

Huang, An-Qi ^{[1
]}

Yu, Wang-Sheng ^{[1
]}

Liu, Xiang ^{[1
]}

机构：

[1] The Information and Navigation Institute, Air Force Engineering University, Xi'an

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2015年 / 37卷 / 06期

关键词：

Exhaustive search; Local patch model; Local patches learning; Model update; Visual tracking;

D O I：

10.11999/JEIT141134

中图分类号：

学科分类号：

摘要：

In order to solve the problems of appearance change, background distraction and occlusion in the object tracking, an efficient algorithm for visual tracking based on the local patch model and model update is proposed. This paper combines rough-search and precise-search to enhance the tracking precision. Firstly, it constructs the local patch model according to the initialized tracking area which includes some background areas. Secondly, the target is preliminarily located through the local exhaustive search algorithm based on the integral histogram, then the final position of the target is calculated through the local patches learning. Finally, the local patch model is updated with the retained sequence during the tracking process. This paper mainly studies the search strategy, background restraining and model update, and the experimental results show that the proposed method obtains a distinct improvement in coping with appearance change, background distraction and occlusion. ©, 2015, Science Press. All right reserved.

引用

页码：1357 / 1364

页数：7

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