13 search results - page 2 / 3 » A Stochastic Filter for Fluid Motion Tracking |
ECCV
2000
Springer
14 years 7 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...
NIPS
2004
13 years 6 months ago
2004
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
ICIAR
2007
Springer
13 years 11 months ago
2007
Springer
This paper presents a direct and stochastic technique for real time estimation of on board camera position and orientation—the ego-motion problem. An on board stereo vision syste...
PAMI
2010
13 years 3 months ago
2010
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
Abstract. An important issue in tracking is how to incorporate an appropriate degree of adaptivity into the observation model. Without any adaptivity, tracking fails when object pr...