科研成果详情

题名Single object tracking via robust combination of particle filter and sparse representation
作者
发表日期2015
发表期刊Signal Processing
ISSN/eISSN0165-1684
卷号110页码:178-187
摘要The drifting problem is a core problem in single object tracking and attracts many researchers' attention. Unfortunately, traditional methods cannot well solve the drifting problem. In this paper, we propose a tracking method based on the robust combination of particle filter and reverse sparse representation (RC-PFRSR) to reduce the drifting. First, we find the ill-organized coefficients. Second, we propose a diagonal matrix α, whose diagonal line includes each patch contribution factor, to function each patch coefficient value of one candidate obtained by sparse representation. Third, we adaptively discriminate the power of each patch within the current candidate region by an occlusion prediction scheme. Our experimental results on nine challenging video sequences show that our RC-PFRSR method is effective and outperforms six state-of-the-art methods for single object tracking.
关键词Occlusion prediction Particle filter Sparse representation Template update Visual object tracking
DOI10.1016/j.sigpro.2014.09.020
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语种英语English
Scopus入藏号2-s2.0-84922892992
引用统计
被引频次:48[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6475
专题北师香港浸会大学
通讯作者He,Zhenyu
作者单位
1.School of Computer Science,Harbin Institute of Technology Shenzhen Graduate School,China
2.Department of Electronics and Information Engineering,Huazhong University of Science and Technology,China
3.Department of Computer Science,Hong Kong Baptist University,Hong Kong,Hong Kong
4.United International College,Beijing Normal University,Hong Kong
推荐引用方式
GB/T 7714
Yi,Shuangyan,He,Zhenyu,You,Xingeet al. Single object tracking via robust combination of particle filter and sparse representation[J]. Signal Processing, 2015, 110: 178-187.
APA Yi,Shuangyan, He,Zhenyu, You,Xinge, & Cheung,Yiu Ming. (2015). Single object tracking via robust combination of particle filter and sparse representation. Signal Processing, 110, 178-187.
MLA Yi,Shuangyan,et al."Single object tracking via robust combination of particle filter and sparse representation". Signal Processing 110(2015): 178-187.
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