Supervised class-specific dictionary learning for sparse modeling in action recognition

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	Supervised class-specific dictionary learning for sparse modeling in action recognition
	Wang, Haoran 1,2; Yuan, Chunfeng2 ; Hu, Weiming2 ; Sun, Changyin 1
发表期刊	PATTERN RECOGNITION
	2012-11-01
卷号	45 期号:11 页码:3902-3911
文章类型	Article
摘要	In this paper, we propose a new supervised classification method based on a modified sparse model for action recognition. The main contributions are three-fold. First, a novel hierarchical descriptor is presented for action representation. To capture spatial information about neighboring interest points, a compound motion and appearance feature is proposed for the interest point at low level. Furthermore, at high level, a continuous motion segment descriptor is presented to combine temporal ordering information of motion. Second, we propose a modified sparse model which incorporates the similarity constrained term and the dictionary incoherence term for classification. Our sparse model not only captures the correlations between similar samples by sharing dictionary, but also encourages dictionaries associated with different classes to be independent by the dictionary incoherence term. The proposed sparse model targets classification, rather than pure reconstruction. Third, in the sparse model, we adopt a specific dictionary for each action class. Moreover, a classification loss function is proposed to optimize the class-specific dictionaries. Experiments validate that the proposed framework obtains the performance comparable to the state-of-the-art. (C) 2012 Elsevier Ltd. All rights reserved.
关键词	Compound Feature Motion Segment Sparse Model Supervised Dictionary Learning Action Recognition
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FACE RECOGNITION ; REPRESENTATION ; SHAPE
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:000306584200005
引用统计	被引频次：96[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/173211/3281
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, Jiangsu, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Wang, Haoran,Yuan, Chunfeng,Hu, Weiming,et al. Supervised class-specific dictionary learning for sparse modeling in action recognition[J]. PATTERN RECOGNITION,2012,45(11):3902-3911.
APA	Wang, Haoran,Yuan, Chunfeng,Hu, Weiming,&Sun, Changyin.(2012).Supervised class-specific dictionary learning for sparse modeling in action recognition.PATTERN RECOGNITION,45(11),3902-3911.
MLA	Wang, Haoran,et al."Supervised class-specific dictionary learning for sparse modeling in action recognition".PATTERN RECOGNITION 45.11(2012):3902-3911.

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