63 search results - page 2 / 13 » Enhancing Particle Filters Using Local Likelihood Sampling |
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
CAEPIA
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
GLOBECOM
2009
IEEE
13 years 9 months ago
2009
IEEE
Particle filters have been found to be effective in tracking mobile targets in indoor environments. One frequently encountered problem in these settings occurs when the target'...
ECCV
2000
Springer
14 years 7 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...