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CVPR
2003
IEEE
15 years 11 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ICCV
2003
IEEE
15 years 11 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
71
Voted
MICCAI
2004
Springer
15 years 10 months ago
Surface-Based Registration with a Particle Filter
Abstract. We propose the use of a particle filter as a solution to the rigid shapebased registration problem commonly found in computer-assisted surgery. This approach is especiall...
Burton Ma, Randy E. Ellis
ECAI
2006
Springer
15 years 1 months ago
Smoothed Particle Filtering for Dynamic Bayesian Networks
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
Theodore Charitos
75
Voted
WSC
2008
14 years 11 months ago
Towards applications of particle filters in wildfire spread simulation
Wildfire propagation is a complex process influenced by many factors. Simulation models of wildfire spread, such as DEVS-FIRE, are important tools for studying fire behavior. This...
Feng Gu, Xiaolin Hu