Action recognition using linear dynamic systems

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	Action recognition using linear dynamic systems
	Wang, Haoran 1,2; Yuan, Chunfeng2 ; Luo, Guan2 ; Hu, Weiming2 ; Sun, Changyin 1
刊名	PATTERN RECOGNITION
	2013-06-01
卷号	46 期号:6 页码:1710-1718
关键词	Linear dynamic system Kernel principal angle Multiclass spectral clustering Supervised codebook pruning Action recognition
英文摘要	In this paper, we propose a novel approach based on Linear Dynamic Systems (LDSs) for action recognition. Our main contributions are two-fold. First, we introduce LDSs to action recognition. LDSs describe the dynamic texture which exhibits certain stationarity properties in time. They are adopted to model the spatiotemporal patches which are extracted from the video sequence, because the spatiotemporal patch is more analogous to a linear time invariant system than the video sequence. Notably, LDSs do not live in the Euclidean space. So we adopt the kernel principal angle to measure the similarity between LDSs, and then the multiclass spectral clustering is used to generate the codebook for the bag of features representation. Second, we propose a supervised codebook pruning method to preserve the discriminative visual words and suppress the noise in each action class. The visual words which maximize the inter-class distance and minimize the intra-class distance are selected for classification. Our approach yields the state-of-the-art performance on three benchmark datasets. Especially, the experiments on the challenging UCF Sports and Feature Films datasets demonstrate the effectiveness of the proposed approach in realistic complex scenarios. (C) 2012 Elsevier Ltd. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	IMAGE SEGMENTATION ; TEXTURE ; CONTOUR ; SHAPE
收录类别	SCI
语种	英语
WOS记录号	WOS:000315369900016
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3280]
专题	自动化研究所_模式识别国家重点实验室_视频内容安全团队
作者单位	1.Southeast Univ, Sch Automat, Nanjing, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Haoran,Yuan, Chunfeng,Luo, Guan,et al. Action recognition using linear dynamic systems[J]. PATTERN RECOGNITION,2013,46(6):1710-1718.
APA	Wang, Haoran,Yuan, Chunfeng,Luo, Guan,Hu, Weiming,&Sun, Changyin.(2013).Action recognition using linear dynamic systems.PATTERN RECOGNITION,46(6),1710-1718.
MLA	Wang, Haoran,et al."Action recognition using linear dynamic systems".PATTERN RECOGNITION 46.6(2013):1710-1718.