Manifold Warp Segmentation of Human Action
文献类型：期刊论文
| 作者 | Liu, Shenglan1; Feng, Lin1; Liu, Yang1; Qiao, Hong2,3 ; Wu, Jun1; Wang, Wei1
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| 刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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| 出版日期 | 2018-05-01 |
| 卷号 | 29期号:5页码:1414-1426 |
| 关键词 | Curvature Dimensionality Reduction Human Action Segmentation Space Alignment |
| DOI | 10.1109/TNNLS.2017.2672971 |
| 文献子类 | Article |
| 英文摘要 | Human action segmentation is important for human action analysis, which is a highly active research area. Most segmentation methods are based on clustering or numerical descriptors, which are only related to data, and consider no relationship between the data and physical characteristics of human actions. Physical characteristics of human motions are those that can be directly perceived by human beings, such as speed, acceleration, continuity, and so on, which are quite helpful in detecting human motion segment points. We propose a new physical-based descriptor of human action by curvature sequence warp space alignment (CSWSA) approach for sequence segmentation in this paper. Furthermore, time series-warp metric curvature segmentation method is constructed by the proposed descriptor and CSWSA. In our segmentation method, descriptor can express the changes of human actions, and CSWSA is an auxiliary method to give suggestions for segmentation. The experimental results show that our segmentation method is effective in both CMU human motion and video-based data sets. |
| WOS关键词 | MOTION SYNTHESIS ; CLASSIFICATION ; RECOGNITION ; RETRIEVAL |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000430729100002 |
| 资助机构 | National Natural Science Foundation of China(61210009 ; China Postdoctoral Science Foundation(ZX20150629) ; 61370200 ; 61602082) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20099]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | 1.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Shenglan,Feng, Lin,Liu, Yang,et al. Manifold Warp Segmentation of Human Action[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(5):1414-1426. |
| APA | Liu, Shenglan,Feng, Lin,Liu, Yang,Qiao, Hong,Wu, Jun,&Wang, Wei.(2018).Manifold Warp Segmentation of Human Action.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(5),1414-1426. |
| MLA | Liu, Shenglan,et al."Manifold Warp Segmentation of Human Action".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.5(2018):1414-1426. |
入库方式： OAI收割
来源：自动化研究所
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