tracking end-effectors for marker-less 3d human motion estimation in multi-view image sequences

ISCAS OpenIR

	tracking end-effectors for marker-less 3d human motion estimation in multi-view image sequences
	Wang Wenzhong; Wang Zhaoqi; Deng Xiaoming; Luo Bin
	2013
会议名称	15th International Conference on Human-Computer Interaction, HCI International 2013
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	227-235
会议日期	July 21, 2013 - July 26, 2013
会议地点	Las Vegas, NV, United states
收录类别	EI
ISSN	0302-9743
ISBN	9783642393419
部门归属	(1) Computer Science Department Anhui University China; (2) Institute of Computing Technology Chinese Academy of Sciences China; (3) Institute of Software Chinese Academy of Sciences China
摘要	We propose to track the end-effectors of human body, and use them as kinematic constraints for reliable marker-less 3D human motion tracking. In the presented approach, we track the end-effectors using particle filtering. The tracked results are then combined with image features for 3D full pose tracking. Experimental results verified that the inclusion of end-effectors' constraints improves the tracking performances. © 2013 Springer-Verlag.; We propose to track the end-effectors of human body, and use them as kinematic constraints for reliable marker-less 3D human motion tracking. In the presented approach, we track the end-effectors using particle filtering. The tracked results are then combined with image features for 3D full pose tracking. Experimental results verified that the inclusion of end-effectors' constraints improves the tracking performances. © 2013 Springer-Verlag.
关键词	Human Computer Interaction Monte Carlo Methods Signal Filtering And Prediction Target Tracking
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15971
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wang Wenzhong,Wang Zhaoqi,Deng Xiaoming,et al. tracking end-effectors for marker-less 3d human motion estimation in multi-view image sequences[C],2013:227-235.