50 search results - page 2 / 10 » Rao-Blackwellised Particle Filtering for Dynamic Bayesian Ne... |
AAAI
2008
13 years 8 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...
PKDD
2009
Springer
13 years 10 months ago
2009
Springer
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
ICMCS
2007
IEEE
14 years 9 days ago
2007
IEEE
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
CIRA
2007
IEEE
14 years 10 days ago
2007
IEEE
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
ICCV
2003
IEEE
14 years 8 months ago
2003
IEEE
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...