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Online discriminative dictionary learning via label information for multi task object tracking
Fan BJ(范保杰); Du YK(杜英魁); Gao, Hao; Wang, Baoyun
Department机器人学研究室
Conference Name2014 IEEE International Conference on Multimedia and Expo, ICME 2014
Conference DateJuly 14-18, 2014
Conference PlaceChengdu, China
Author of SourceBaidu; BOCOM; et al.; NSF; NSFC; QIY
Source PublicationProceedings - IEEE International Conference on Multimedia and Expo
PublisherIEEE Computer Society
Publication PlaceWashington, DC
2014
Pages1-6
Indexed ByEI ; CPCI(ISTP)
EI Accession number20153001066624
WOS IDWOS:000360831800126
Contribution Rank2
ISSN1945-7871
ISBN978-1-4799-4761-4
KeywordLabel Information Discriminative Dictionary Learning Multi Task Learning Object Tracking
AbstractIn this paper, 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 compact 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 multi-classifier simultaneously. Combined with multi task sparse learning, the learned classifier is employed directly to separate the object from background. As the tracking continues, the proposed algorithm alternates between multi task 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
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/16816
Collection机器人学研究室
Affiliation1.College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China
2.State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Fan BJ,Du YK,Gao, Hao,et al. Online discriminative dictionary learning via label information for multi task object tracking[C]//Baidu; BOCOM; et al.; NSF; NSFC; QIY. Washington, DC:IEEE Computer Society,2014:1-6.
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