15 search results - page 2 / 3 » Particle Filtering for Large Dimensional State Spaces with M... |
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...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
ROBOCUP
2007
Springer
13 years 11 months ago
2007
Springer
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
AMDO
2010
Springer
13 years 3 months ago
2010
Springer
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...
ICRA
2003
IEEE
13 years 10 months ago
2003
IEEE
— Particle filters have recently been applied with great success to mobile robot localization. This success is mostly due to their simplicity and their ability to represent arbi...