31 search results - page 5 / 7 » Gaussian Process Latent Variable Models for Human Pose Estim... |
CVPR
2009
IEEE
15 years 29 days ago
2009
IEEE
The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. T...
CVPR
2009
IEEE
2009
IEEE
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
13 years 9 months ago
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
ICIP
2002
IEEE
13 years 10 months ago
2002
IEEE
In this paper, an approach towards head pose estimation is introduced based on Gabor eigenspace modeling. Gabor filter is used to enhance pose information and eliminate other dist...