Robust Visual Tracking via Appearance Modeling and Sparse Representation

doi:10.4304/jcp.9.7.1612-1619

IR > 计算机与通信学院

	Robust Visual Tracking via Appearance Modeling and Sparse Representation
	Li, Ming; Ma, Fanglan; Nian, Fuzhong
	2014-07-01
发表期刊	JOURNAL OF COMPUTERS
ISSN	1796-203X
卷号	9 期号:7 页码:1612-1619
摘要	When appearance variation of object, partial occlusion or illumination change in object images occurs, most existing tracking approaches fail to track the target effectively. To deal with the problem, this paper proposed a robust visual tracking method based on appearance modeling and sparse representation. The proposed method exploits two-dimensional principal component analysis (2DPCA) with sparse representation theory for constructing appearance model. Then tracking is achieved by Bayesian inference framework, in which a particle filter is applied to evaluate the target state sequentially over time. In addition, to make the observation model more robust, the incremental learning algorithm is used to update the template set. Both qualitative and quantitative evaluations on four publicly available benchmark video sequences demonstrate that the proposed visual tracking algorithm performs better than several state-of-the-art algorithms.
关键词	visual tracking appearance model sparse representation 2DPCA
DOI	10.4304/jcp.9.7.1612-1619
收录类别	ESCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000218222800016
出版者	ACAD PUBL
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/155705
专题	计算机与通信学院
通讯作者	Li, Ming
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Li, Ming,Ma, Fanglan,Nian, Fuzhong. Robust Visual Tracking via Appearance Modeling and Sparse Representation[J]. JOURNAL OF COMPUTERS,2014,9(7):1612-1619.
APA	Li, Ming,Ma, Fanglan,&Nian, Fuzhong.(2014).Robust Visual Tracking via Appearance Modeling and Sparse Representation.JOURNAL OF COMPUTERS,9(7),1612-1619.
MLA	Li, Ming,et al."Robust Visual Tracking via Appearance Modeling and Sparse Representation".JOURNAL OF COMPUTERS 9.7(2014):1612-1619.