131 search results - page 2 / 27 » Probabilistic Image-Based Tracking: Improving Particle Filte... |
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we present a monocular 3D arm movement tracking system using adaptive particle filter. The effective sample size (ESS) is analyzed in the adaptive particle filter t...
AUSAI
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is...
GLOBECOM
2009
IEEE
13 years 8 months ago
2009
IEEE
Particle filters have been found to be effective in tracking mobile targets in indoor environments. One frequently encountered problem in these settings occurs when the target'...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...