Manifold Warp Segmentation of Human Action
Liu, Shenglan1; Feng, Lin1; Liu, Yang1; Qiao, Hong2,3; Wu, Jun1; Wang, Wei1
2018-05-01
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷号29期号:5页码:1414-1426
文章类型Article
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.
关键词Curvature Dimensionality Reduction Human Action Segmentation Space Alignment
WOS标题词Science & Technology ; Technology
DOI10.1109/TNNLS.2017.2672971
关键词[WOS]MOTION SYNTHESIS ; CLASSIFICATION ; RECOGNITION ; RETRIEVAL
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61210009 ; China Postdoctoral Science Foundation(ZX20150629) ; 61370200 ; 61602082)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000430729100002
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20099
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Manifold Warp Segmen(3667KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Liu, Shenglan]的文章
[Feng, Lin]的文章
[Liu, Yang]的文章
百度学术
百度学术中相似的文章
[Liu, Shenglan]的文章
[Feng, Lin]的文章
[Liu, Yang]的文章
必应学术
必应学术中相似的文章
[Liu, Shenglan]的文章
[Feng, Lin]的文章
[Liu, Yang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Manifold Warp Segmentation of Human Action.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。