Action recognition using linear dynamic systems
文献类型：期刊论文
| 作者 | Wang, Haoran1,2; Yuan, Chunfeng2 ; Luo, Guan2; Hu, Weiming2; Sun, Changyin1
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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