41 search results - page 1 / 9 » People Tracking Using Hybrid Monte Carlo Filtering |
34
Voted
ICCV
2001
IEEE
15 years 1 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...
VMV
2008
14 years 18 days ago
2008
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
ICPR
2006
IEEE
15 years 8 days ago
2006
IEEE
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
ICPR
2002
IEEE
14 years 4 months ago
2002
IEEE
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
ICMCS
2007
IEEE
14 years 5 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...