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ICIAP
2007
ACM
15 years 9 months ago
An information theoretic rule for sample size adaptation in particle filtering
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
Oswald Lanz
NIPS
2001
14 years 11 months ago
Risk Sensitive Particle Filters
We propose a new particle filter that incorporates a model of costs when generating particles. The approach is motivated by the observation that the costs of accidentally not trac...
Sebastian Thrun, John Langford, Vandi Verma
ISVC
2005
Springer
15 years 3 months ago
Multi-aspect Target Tracking in Image Sequences Using Particle Filters
This paper addresses the issue of multi-aspect target tracking where target’s aspect is modeled by a continuous-valued affine model. The affine parameters are assumed to follow ...
Li Tang, Vijay Venkataraman, Guoliang Fan
ECCV
2004
Springer
15 years 11 months ago
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets
Abstract. We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or be...
Zia Khan, Tucker R. Balch, Frank Dellaert
AMDO
2004
Springer
15 years 2 months ago
Image Cues Fusion for Object Tracking Based on Particle Filter
Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...
Peihua Li, François Chaumette