206 search results - page 5 / 42 » Learning Parameterized Models of Image Motion |
115
Voted
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
MICCAI
2009
Springer
16 years 23 days ago
2009
Springer
Abstract. Anatomical and functional information of cardiac vasculature is a key component of future developments in the field of interventional cardiology. With the technology of C...
115
click to vote
ECCV
2000
Springer
16 years 1 months ago
2000
Springer
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
ICIP
2009
IEEE
16 years 19 days ago
2009
IEEE
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
ICPR
2004
IEEE
16 years 21 days ago
2004
IEEE