Visual Tracking via Manifold Regularized Local Structured Sparse Representation Model

	Visual Tracking via Manifold Regularized Local Structured Sparse Representation Model
	Wang, Lingfeng; Pan, Chunhong
	2015
会议名称	ICIP 2015
会议录名称	ICIP 2015
会议日期	2015
会议地点	Quebec, Canada
摘要	In this paper, we propose a new visual tracking method via the manifold regularized local structured sparse representation model under the particle filtering tracking framework. First, in order to tackle the difficulties of partial occlusion and illumination variation, the local structured sparse representation model is incorporated by exploiting both partial and spatial information of the target. Second, the manifold regularization is used to ensure that neighboring particles should share similar representation coefficients, so that these particles can cooperate with each other. Extensive experiments are performed on various video sequences, showing improvement over the state-of-the-art approaches.
关键词	Visual Tracking Sparse Representation Manifold Regularization
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11025
专题	多模态人工智能系统全国重点实验室_先进时空数据分析与学习
作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wang, Lingfeng,Pan, Chunhong. Visual Tracking via Manifold Regularized Local Structured Sparse Representation Model[C],2015.