393 search results - page 8 / 79 » On the sustained tracking of human motion |
105
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ECCV
2000
Springer
15 years 11 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...
PG
2002
IEEE
15 years 2 months ago
2002
IEEE
The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today’...
105
Voted
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
— A new approach to the 3D human motion tracking problem is proposed, which combines several particle filters with a physical simulation of a flexible body model. The flexible...
82
Voted
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead of relying on kinemat...