258 search results - page 14 / 52 » Multiple Object Tracking with Kernel Particle Filter |
AMDO
2004
Springer
14 years 1 months ago
2004
Springer
Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
ROBOCUP
2004
Springer
14 years 28 days ago
2004
Springer
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a hig...
ICCV
2001
IEEE
14 years 9 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...