16 search results - page 1 / 4 » Sequential Monte Carlo for Bayesian Matching of Objects with... |
PAMI
2006
13 years 4 months ago
2006
IJCV
2008
13 years 4 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
CVPR
1999
IEEE
13 years 9 months ago
1999
IEEE
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
Occlusion is a difficult problem for appearance-based target tracking, especially when we need to track multiple targets simultaneously and maintain the target identities during t...
ICMCS
2007
IEEE
13 years 11 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...