565 search results - page 5 / 113 » Lattice Particle Filters |
WSC
2008
13 years 10 months ago
2008
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into rand...
ECCV
2000
Springer
14 years 10 months ago
2000
Springer
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
JSCIC
2008
13 years 8 months ago
2008
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
HUMO
2007
Springer
13 years 10 months ago
2007
Springer
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
FGR
2004
IEEE
14 years 7 days ago
2004
IEEE
Particle filter and mean shift are two successful approaches taken in the pursuit of robust tracking. Both of them have their respective strengths and weaknesses. In this paper, w...