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ICASSP
2008
IEEE
13 years 12 months ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
UAI
2000
13 years 6 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
ICRA
2008
IEEE
13 years 12 months ago
2008
IEEE
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
ISPAN
2009
IEEE
14 years 3 days ago
2009
IEEE
—This paper presents a novel application of the GPU processing power to a very computationally demanding articulated human body tracking problem in a view-based approach. This wo...