13 search results - page 2 / 3 » Tracking of Abrupt Motion using Wang-Landau Monte Carlo Est... |
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
ICRA
2005
IEEE
13 years 11 months ago
2005
IEEE
— The problem of simultaneous localization and mapping has received much attention over the last years. Especially large scale environments, where the robot trajectory loops back...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degr...
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
We present a method to track and estimate the motion of a 3D object with a monocular image sequence. The problem is based on the state equations and is solved by a sequential Mont...
ICMCS
2007
IEEE
13 years 11 months 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...