18 search results - page 1 / 4 » CRF-Filters: Discriminative Particle Filters for Sequential ... |
ICRA
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
AUTOMATICA
2008
13 years 9 months ago
2008
In recent years particle ...lters have been applied to a variety of state estimation problems. A particle ...lter is a sequential Monte Carlo Bayesian estimator of the posterior d...
SAC
2008
ACM
13 years 8 months ago
2008
ACM
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
ICIP
2005
IEEE
14 years 11 months ago
2005
IEEE
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...