85 search results - page 15 / 17 » Aggregating Learned Probabilistic Beliefs |
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
114
click to vote
IWCM
2004
Springer
15 years 2 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
JMLR
2010
14 years 4 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
ICRA
2003
IEEE
15 years 2 months ago
2003
IEEE
— As people move through their environments, they do not move randomly. Instead, they are often engaged in typical motion patterns, related to specific locations they might be i...