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» Gaussian Process Dynamical Models for Human Motion
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ICIP
1999
IEEE
16 years 1 months ago
Video Motion Capture Using Feature Tracking and Skeleton Reconstruction
In the domain of computer vision, there exists a very wide application for the research of human motion capture. This paper proposes a new approach to do motion capture in video. ...
Xiaoming Liu 0002, Yueting Zhuang, Yunhe Pan
SIGGRAPH
1996
ACM
15 years 4 months ago
Efficient Generation of Motion Transitions Using Spacetime Constraints
This paper describesthe application of spacetime constraints to creating transitions between segments of human body motion. The motion transition generation uses a combination of ...
Charles Rose, Brian K. Guenter, Bobby Bodenheimer,...
DAGM
2005
Springer
15 years 5 months ago
A System for Marker-Less Human Motion Estimation
Abstract. In this contribution we present a silhouette based human motion estimation system. The system components contain silhouette extraction based on level sets, a corresponden...
Bodo Rosenhahn, Uwe G. Kersting, Andrew W. Smith, ...
HRI
2006
ACM
15 years 5 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ICCV
2005
IEEE
15 years 5 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...