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Block covariance based l(1) tracker with a subtle template dictionary

文献类型：期刊论文

作者Zhang, Xiaoqin1; Li, Wei2; Hu, Weiming2; Ling, Haibin3; Maybank, Steve4
刊名PATTERN RECOGNITION
出版日期2013-07-01
卷号46期号:7页码:1750-1761
关键词Visual tracking Sparse representation Block division Covariance feature Template update
英文摘要Sparse representation is one of the most influential frameworks for visual tracking. However, when applying this framework to the real-world tracking applications, there are still many challenges such as appearance variations and background noise. In this paper, we propose a new l(1)-regularized sparse representation based tracking algorithm. The contributions of our work are: (1) A block-division based covariance feature is incorporated into the sparse representation framework. This feature has two advantages-(a) the feature is more discriminative than the original image patch and (b) the block information is robust for occlusion reasoning. (2) A subtle template dictionary is constructed including a fixed template, a stable template and other variational templates; and these templates are selectively updated to capture the appearance variations and prevent the model from drifting. (3) The sparse representation framework is extended to multi-object tracking, where the multi-object tracking task can be easily decentralized to a set of individual trackers. Experimental results demonstrate that, compared with several state-of-the-art tracking algorithms, the proposed algorithm is more robust and effective. (C) 2012 Elsevier Ltd. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]OBJECT TRACKING ; SPARSE REPRESENTATION ; VISUAL TRACKING ; ROBUST ; OPTIMIZATION ; MODELS ; FILTER
收录类别SCI
语种英语
WOS记录号WOS:000317886600003
源URL[http://ir.ia.ac.cn/handle/173211/3279]  
专题自动化研究所_模式识别国家重点实验室_视频内容安全团队
作者单位1.Wenzhou Univ, Inst Intelligent Syst & Decis, Wenzhou, Zhejiang, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
4.Univ London Birkbeck Coll, Dept Comp Sci & Informat Syst, London WC1E 7HX, England
推荐引用方式
GB/T 7714		 Zhang, Xiaoqin,Li, Wei,Hu, Weiming,et al. Block covariance based l(1) tracker with a subtle template dictionary[J]. PATTERN RECOGNITION,2013,46(7):1750-1761.
APA Zhang, Xiaoqin,Li, Wei,Hu, Weiming,Ling, Haibin,&Maybank, Steve.(2013).Block covariance based l(1) tracker with a subtle template dictionary.PATTERN RECOGNITION,46(7),1750-1761.
MLA Zhang, Xiaoqin,et al."Block covariance based l(1) tracker with a subtle template dictionary".PATTERN RECOGNITION 46.7(2013):1750-1761.

入库方式： OAI收割

来源：自动化研究所

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