26 search results - page 3 / 6 » Visual tracking using sequential importance sampling with a ... |
UAI
2008
13 years 7 months ago
2008
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
Visual trackan,g cou,ld be treeted as a param,eter estim.ation. problem, of target representastionbased on observations in im,age sequ.ences. A rich,er target represen,tation, wou...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
ACCV
2009
Springer
14 years 12 days ago
2009
Springer
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...