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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)
Department机器人学研究室
Source PublicationABSTRACT AND APPLIED ANALYSIS
ISSN1085-3375
2014
Pages1-12
Indexed BySCI
WOS IDWOS:000338651900001
Contribution Rank2
Funding OrganizationNatural 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]
KeywordSparse Appearance Model Visual Tracking Feature-selection K-svd Representation Recognition Features
AbstractA 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 HeadingsScience & Technology ; Physical Sciences
WOS SubjectMathematics, Applied ; Mathematics
WOS KeywordSPARSE APPEARANCE MODEL ; VISUAL TRACKING ; FEATURE-SELECTION ; K-SVD ; REPRESENTATION ; RECOGNITION ; FEATURES
WOS Research AreaMathematics
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15120
Collection机器人学研究室
Corresponding AuthorFan BJ(范保杰)
Affiliation1.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.
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