Discriminative subspace learning with sparse representation view-based model for robust visual tracking

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	Discriminative subspace learning with sparse representation view-based model for robust visual tracking
	Xie, Yuan ; Zhang, Wensheng ; Qu, Yanyun ; Zhang, Yinghua ; Qu YY(曲延云)
刊名	http://dx.doi.org/10.1016/j.patcog.2013.07.010
	2014
关键词	REGRESSION SELECTION
英文摘要	National Natural Science Foundation of China [U1135005, 90924026]; Project for the National Basic Research 12th Five Program of China [0101050302]; In this paper, we propose a robust tracking algorithm to handle drifting problem. This algorithm consists of two parts: the first part is the G&D part that combines Generative model and Discriminative model for tracking, and the second part is the View-Based model for target appearance that corrects the result of the G&D part if necessary. In GRID part, we use the Maximum Margin Projection (MMP) to construct a graph model to preserve both local geometrical and discriminant structures of the data manifold in low dimensions. Therefore, such discriminative subspace combined with traditional generative subspace can benefit from both models. In addition, we address the problem of learning maximum margin projection under the Spectral Regression (SR) which results in significant savings in computational time. To further solve the drift, an online learned sparsely represented view-based model of the target is complementary to the G&D part. When the result of G&D part is unreliable, the view-based model can rectify the result in order to avoid drifting. Experimental results on several challenging video sequences demonstrate the effectiveness and robustness of our approach. (C) 2013 Elsevier Ltd. All rights reserved.
语种	英语
出版者	ELSEVIER SCI LTD
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92724]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Xie, Yuan,Zhang, Wensheng,Qu, Yanyun,et al. Discriminative subspace learning with sparse representation view-based model for robust visual tracking[J]. http://dx.doi.org/10.1016/j.patcog.2013.07.010,2014.
APA	Xie, Yuan,Zhang, Wensheng,Qu, Yanyun,Zhang, Yinghua,&曲延云.(2014).Discriminative subspace learning with sparse representation view-based model for robust visual tracking.http://dx.doi.org/10.1016/j.patcog.2013.07.010.
MLA	Xie, Yuan,et al."Discriminative subspace learning with sparse representation view-based model for robust visual tracking".http://dx.doi.org/10.1016/j.patcog.2013.07.010 (2014).