Robust object tracking via diverse templates | |
Wu, Siyuan1,2; Li, Xuelong1; Lu, Xiaoqiang1 | |
2016-08-16 | |
会议名称 | 2016 international conference on computer, information and telecommunication systems, cits 2016 |
会议日期 | 2016-07-06 |
会议地点 | kunming, china |
关键词 | Computer vision Image processing Tracking (position) |
通讯作者 | wu, siyuan |
英文摘要 | robust object tracking is a challenging task in computer vision. since the appearance of the target changes frequently, how to build and update the appearance model is crucial. in this paper, to better represent the object dynamically, we propose a robust object tracker based on diverse templates. first, we construct diverse multiple templates using the determinantal point process algorithm adaptively, which efficiently detects the most diverse subset of a set. second, a patch;matching method is employed to propagate every template density to the next frame, and a voting map for each template is constructed by all matching patches. third, a weighted bayesian filter framework aggregates all voting maps to optimize target state. finally, in order to maintain the diversity of multiple templates, we dynamically add, remove and replace the target from templates. experimental results prove that the proposed method outperforms state;of;the;art tracking algorithms significantly in terms of center position errors and success rates. © 2016 ieee. |
收录类别 | EI ; ISTP |
产权排序 | 1 |
会议录 | ieee cits 2016 ; 2016 international conference on computer, information and telecommunication systems |
会议录出版者 | institute of electrical and electronics engineers inc. |
语种 | 英语 |
ISBN号 | 9781509034406 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28206] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi; 710119, China 2.University of the Chinese, Academy of Sciences, 19A Yuquanlu, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Wu, Siyuan,Li, Xuelong,Lu, Xiaoqiang. Robust object tracking via diverse templates[C]. 见:2016 international conference on computer, information and telecommunication systems, cits 2016. kunming, china. 2016-07-06. |
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