41 search results - page 2 / 9 » Implicit Probabilistic Models of Human Motion for Synthesis ... |
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
Abstract. There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and se...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
ECCV
2000
Springer
14 years 6 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...