19 search results - page 1 / 4 » Particle algorithms for filtering in high dimensional state ... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We briefly present the current state-of-the-art approaches for group and extended object tracking with an emphasis on particle methods which have high potential to handle complex...
AAAI
2008
13 years 7 months ago
2008
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
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...
FGR
2004
IEEE
13 years 8 months ago
2004
IEEE
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
PAMI
2007
13 years 4 months ago
2007
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...