Visual Tracking via Sparse and Local Linear Coding
文献类型：期刊论文
| 作者 | Wang, Guofeng1,2; Qin, Xueying1,2; Zhong, Fan1,2; Liu, Yue3; Li, Hongbo3 ; Peng, Qunsheng4; Yang, Ming-Hsuan5
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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| 出版日期 | 2015-11-01 |
| 卷号 | 24期号:11页码:3796-3809 |
| 关键词 | State space search convex sparse coding locality-constrained linear coding visual tracking |
| ISSN号 | 1057-7149 |
| DOI | 10.1109/TIP.2015.2445291 |
| 英文摘要 | The state search is an important component of any object tracking algorithm. Numerous algorithms have been proposed, but stochastic sampling methods (e.g., particle filters) are arguably one of the most effective approaches. However, the discretization of the state space complicates the search for the precise object location. In this paper, we propose a novel tracking algorithm that extends the state space of particle observations from discrete to continuous. The solution is determined accurately via iterative linear coding between two convex hulls. The algorithm is modeled by an optimal function, which can be efficiently solved by either convex sparse coding or locality constrained linear coding. The algorithm is also very flexible and can be combined with many generic object representations. Thus, we first use sparse representation to achieve an efficient searching mechanism of the algorithm and demonstrate its accuracy. Next, two other object representation models, i.e., least soft-threshold squares and adaptive structural local sparse appearance, are implemented with improved accuracy to demonstrate the flexibility of our algorithm. Qualitative and quantitative experimental results demonstrate that the proposed tracking algorithm performs favorably against the state-of-the-art methods in dynamic scenes. |
| 资助项目 | 973 Program of China[2015CB352502] ; 863 Program of China[2015AA016405] ; National Natural Science Foundation of China[61173070] ; National Natural Science Foundation of China[61202149] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000358923100002 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/20476]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Qin, Xueying |
| 作者单位 | 1.Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Peoples R China 2.Minist Educ, Engn Res Ctr Digital Media Technol, Jinan 250100, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Zhejiang Univ, State Key Lab Comp Aided Design & Comp Graph, Hangzhou 310027, Zhejiang, Peoples R China 5.Univ Calif, Dept Elect Engn & Comp Sci, Merced, CA 95344 USA |
| 推荐引用方式 GB/T 7714 | Wang, Guofeng,Qin, Xueying,Zhong, Fan,et al. Visual Tracking via Sparse and Local Linear Coding[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(11):3796-3809. |
| APA | Wang, Guofeng.,Qin, Xueying.,Zhong, Fan.,Liu, Yue.,Li, Hongbo.,...&Yang, Ming-Hsuan.(2015).Visual Tracking via Sparse and Local Linear Coding.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(11),3796-3809. |
| MLA | Wang, Guofeng,et al."Visual Tracking via Sparse and Local Linear Coding".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.11(2015):3796-3809. |
入库方式： OAI收割
来源：数学与系统科学研究院
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