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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)
作者部门机器人学研究室
关键词Sparse Appearance Model Visual Tracking Feature-selection K-svd Representation Recognition Features
发表期刊ABSTRACT AND APPLIED ANALYSIS
ISSN1085-3375
2014
页码1-12
收录类别SCI
WOS记录号WOS:000338651900001
产权排序2
资助机构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]
摘要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.
语种英语
WOS标题词Science & Technology ; Physical Sciences
WOS类目Mathematics, Applied ; Mathematics
关键词[WOS]SPARSE APPEARANCE MODEL ; VISUAL TRACKING ; FEATURE-SELECTION ; K-SVD ; REPRESENTATION ; RECOGNITION ; FEATURES
WOS研究方向Mathematics
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/15120
专题机器人学研究室
通讯作者Fan BJ(范保杰)
作者单位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
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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.
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