Markerless human motion tracking from monocular videos

Residential College	false
Status	已發表Published
	Markerless human motion tracking from monocular videos
	Chen J.1; Wang W.1; Wu E.1
	2005-09-01
Source Publication	Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
ISSN	10039775
Volume	17 Issue:9 Pages:2033-2039
Abstract	In this paper, a novel approach is proposed for tracking markerless human motion in monocular videos to capture the articulate motion data. With an articulated human model constructed, the new approach uses the probability density propagation of the particle filters through the learnt motion model and likelihood computing with the appearance models to track the human motion. The method is capable of automatically recovering from tracking failures. It can also process the occlusion and auto-occlusion problem correctly. Experimental results from real monocular videos show that the new approach is robust and the tracking results are satisfactory.
Keyword	Appearance model Human model Human motion tracking Motion model Particle filtering
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via Scopus
Document Type	Journal article
Collection	University of Macau
Affiliation	1.Institute of Software Chinese Academy of Sciences 2.Universidade de Macau 3.Chinese Academy of Sciences
Recommended Citation GB/T 7714	Chen J.,Wang W.,Wu E.. Markerless human motion tracking from monocular videos[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2005, 17(9), 2033-2039.
APA	Chen J.., Wang W.., & Wu E. (2005). Markerless human motion tracking from monocular videos. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 17(9), 2033-2039.
MLA	Chen J.,et al."Markerless human motion tracking from monocular videos".Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 17.9(2005):2033-2039.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh