MCMC-based posterior independence approximation for RFS multitarget particle filters.
Ángel F. García-FernándezBa-Ngu VoBa-Tuong VoPublished in: FUSION (2014)
Keyphrases
- particle filter
- markov chain monte carlo
- proposal distribution
- importance sampling
- particle filtering
- monte carlo
- visual tracking
- object tracking
- posterior distribution
- motion model
- generative model
- parameter estimation
- state space
- data association
- kalman filter
- markov chain
- bayesian inference
- mean shift
- state estimation
- high dimensional state space
- posterior probability
- robust tracking
- appearance model
- multiple objects
- approximate inference
- likelihood function
- closed form
- observation model
- multiple object tracking
- computer vision
- maximum a posteriori
- bayesian networks
- bayesian filtering
- abrupt motion
- image sequences