41 search results - page 1 / 9 » Implicit Probabilistic Models of Human Motion for Synthesis ... |
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
CRV
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
FGR
1998
IEEE
13 years 8 months ago
1998
IEEE
This paper describes experiments in human motion understanding, defined here as estimation of the physical state of the body (the Plant) combined with interpretation of that part ...
HRI
2006
ACM
13 years 10 months ago
2006
ACM
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...