Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection

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	Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection
	Wang, Haoran 1; Yuan, Chunfeng2 ; Hu, Weiming2 ; Ling, Haibin 3; Yang, Wankou 1; Sun, Changyin 1
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2014-02-01
卷号	23 期号:2 页码:570-581
文章类型	Article
摘要	In this paper, we propose using high-level action units to represent human actions in videos and, based on such units, a novel sparse model is developed for human action recognition. There are three interconnected components in our approach. First, we propose a new context-aware spatial-temporal descriptor, named locally weighted word context, to improve the discriminability of the traditionally used local spatial-temporal descriptors. Second, from the statistics of the context-aware descriptors, we learn action units using the graph regularized nonnegative matrix factorization, which leads to a part-based representation and encodes the geometrical information. These units effectively bridge the semantic gap in action recognition. Third, we propose a sparse model based on a joint l(2,1)-norm to preserve the representative items and suppress noise in the action units. Intuitively, when learning the dictionary for action representation, the sparse model captures the fact that actions from the same class share similar units. The proposed approach is evaluated on several publicly available data sets. The experimental results and analysis clearly demonstrate the effectiveness of the proposed approach.
关键词	Action Unit Action Recognition Sparse Representation Nonnegative Matrix Factorization
WOS标题词	Science & Technology ; Technology
关键词[WOS]	MATRIX FACTORIZATION ; OBJECTS ; CONTEXT ; POINTS ; PARTS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000329581800007
引用统计	被引频次：46[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3267
专题	多模态人工智能系统全国重点实验室_视频内容安全
作者单位	1.Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
推荐引用方式 GB/T 7714	Wang, Haoran,Yuan, Chunfeng,Hu, Weiming,et al. Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2014,23(2):570-581.
APA	Wang, Haoran,Yuan, Chunfeng,Hu, Weiming,Ling, Haibin,Yang, Wankou,&Sun, Changyin.(2014).Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection.IEEE TRANSACTIONS ON IMAGE PROCESSING,23(2),570-581.
MLA	Wang, Haoran,et al."Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection".IEEE TRANSACTIONS ON IMAGE PROCESSING 23.2(2014):570-581.

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