89 search results - page 1 / 18 » Particle PHD Filtering for Multi-Target Visual Tracking |
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
Consider the problem of tracking a set of moving targets. Apart from the tracking result, it is often important to know where the tracking fails, either to steer sensors to that p...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
We apply a multi-target recursive Bayes filter, the Probability Hypothesis Density (PHD) filter, to a visual tracking problem: tracking a variable number of human groups in video....
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...
ICIP
2005
IEEE
13 years 10 months ago
2005
IEEE
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...