Action recognition via structured codebook construction
文献类型：期刊论文
| 作者 | Zhou, Wen; Wang, Chunheng ; Xiao, Baihua; Zhang, Zhong
|
| 刊名 | SIGNAL PROCESSING-IMAGE COMMUNICATION
 |
| 出版日期 | 2014-04-01 |
| 卷号 | 29期号:4页码:546-555 |
| 关键词 | Action recognition Bag-of-words models Structured codebook Sparse coding Contextual information |
| 英文摘要 | Bag-of-words models have been widely used to obtain the global representation for action recognition. However, these models ignored the structure information, such as the spatial and temporal contextual information for action representation. In this paper, we propose a novel structured codebook construction method to encode spatial and temporal contextual information among local features for video representation. Given a set of training videos, our method first extracts local motion and appearance features. Next, we encode the spatial and temporal contextual information among local features by constructing correlation matrices for local spatio-temporal features. Then, we discover the common patterns of movements to construct the structured codebook. After that, actions can be represented by a set of sparse coefficients with respect to the structured codebook. Finally, a simple linear SVM classifier is applied to predict the action class based on the action representation. Our method has two main advantages compared to traditional methods. First, our method automatically discovers the mid-level common patterns of movements that capture rich spatial and temporal contextual information. Second, our method is robust to unwanted background local features mainly because most unwanted background local features cannot be sparsely represented by the common patterns and they are treated as residual errors that are not encoded into the action representation. We evaluate the proposed method on two popular benchmarks: KTH action dataset and UCF sports dataset Experimental results demonstrate the advantages of our structured codebook construction. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic |
| 研究领域[WOS] | Engineering |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000335280400008 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3763]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Wen,Wang, Chunheng,Xiao, Baihua,et al. Action recognition via structured codebook construction[J]. SIGNAL PROCESSING-IMAGE COMMUNICATION,2014,29(4):546-555. |
| APA | Zhou, Wen,Wang, Chunheng,Xiao, Baihua,&Zhang, Zhong.(2014).Action recognition via structured codebook construction.SIGNAL PROCESSING-IMAGE COMMUNICATION,29(4),546-555. |
| MLA | Zhou, Wen,et al."Action recognition via structured codebook construction".SIGNAL PROCESSING-IMAGE COMMUNICATION 29.4(2014):546-555. |
入库方式： OAI收割
来源：自动化研究所
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