Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection
文献类型：期刊论文
| 作者 | Wang, Haoran1; Yuan, Chunfeng2 ; Hu, Weiming2; Ling, Haibin3; Yang, Wankou1; Sun, Changyin1
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2014-02-01 |
| 卷号 | 23期号:2页码:570-581 |
| 关键词 | Action unit action recognition sparse representation nonnegative matrix factorization |
| 英文摘要 | 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. |
| 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] | MATRIX FACTORIZATION ; OBJECTS ; CONTEXT ; POINTS ; PARTS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000329581800007 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3267]  |
| 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 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. |
入库方式： OAI收割
来源：自动化研究所
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