| Online Learning Discriminative Dictionary with Label Information for Robust Object Tracking | |
Fan BJ(范保杰); Du YK(杜英魁); Cong Y(丛杨)
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| Department | 机器人学研究室 |
| Source Publication | ABSTRACT AND APPLIED ANALYSIS
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| ISSN | 1085-3375 |
| 2014 | |
| Pages | 1-12 |
| Indexed By | SCI |
| WOS ID | WOS:000338651900001 |
| Contribution Rank | 2 |
| Funding Organization | Natural Science Foundation of China [61203270]; State Key Laboratory of Robotics Open Project; Introduction Foundation for the Talent of Nanjing University of Tele. and Com [NY212028]; Jiangsu Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology) [30920140122007] |
| Keyword | Sparse Appearance Model Visual Tracking Feature-selection K-svd Representation Recognition Features |
| Abstract | A supervised approach to online-learn a structured sparse and discriminative representation for object tracking is presented. Label information from training data is incorporated into the dictionary learning process to construct a robust and discriminative dictionary. This is accomplished by adding an ideal-code regularization term and classification error term to the total objective function. By minimizing the total objective function, we learn the high quality dictionary and optimal linear multiclassifier jointly using iterative reweighed least squares algorithm. Combined with robust sparse coding, the learned classifier is employed directly to separate the object from background. As the tracking continues, the proposed algorithm alternates between robust sparse coding and dictionary updating. Experimental evaluations on the challenging sequences show that the proposed algorithm performs favorably against state-of-the-art methods in terms of effectiveness, accuracy, and robustness. |
| Language | 英语 |
| WOS Headings | Science & Technology ; Physical Sciences |
| WOS Subject | Mathematics, Applied ; Mathematics |
| WOS Keyword | SPARSE APPEARANCE MODEL ; VISUAL TRACKING ; FEATURE-SELECTION ; K-SVD ; REPRESENTATION ; RECOGNITION ; FEATURES |
| WOS Research Area | Mathematics |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.sia.cn/handle/173321/15120 |
| Collection | 机器人学研究室 |
| Corresponding Author | Fan BJ(范保杰) |
| Affiliation | 1.College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| Recommended Citation GB/T 7714 | Fan BJ,Du YK,Cong Y. Online Learning Discriminative Dictionary with Label Information for Robust Object Tracking[J]. ABSTRACT AND APPLIED ANALYSIS,2014:1-12. |
| APA | Fan BJ,Du YK,&Cong Y.(2014).Online Learning Discriminative Dictionary with Label Information for Robust Object Tracking.ABSTRACT AND APPLIED ANALYSIS,1-12. |
| MLA | Fan BJ,et al."Online Learning Discriminative Dictionary with Label Information for Robust Object Tracking".ABSTRACT AND APPLIED ANALYSIS (2014):1-12. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Online Learning Disc（6891KB） | 期刊论文 | 出版稿 | 开放获取 | ODC PDDL | View Application Full Text | |
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