19 search results - page 3 / 4 » Particle algorithms for filtering in high dimensional state ... |
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
PKDD
2009
Springer
13 years 9 months ago
2009
Springer
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
We present a dynamic inference algorithm in a globally parameterized nonlinear manifold and demonstrate it on the problem of visual tracking. An appearance manifold is usually non...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
IJCV
2008
13 years 4 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...