Bayesian filtering with intractable likelihood using sequential MCMC.
François SeptierGareth W. PetersIdo NevatPublished in: ICASSP (2013)
Keyphrases
- bayesian filtering
- proposal distribution
- particle filtering
- particle filter
- markov chain monte carlo
- bayesian filtering framework
- density function
- approximate inference
- visual tracking
- kalman filter
- feature tracking
- importance sampling
- object tracking
- posterior distribution
- likelihood function
- monte carlo
- simultaneous localization and mapping
- kernel density approximation
- motion model
- posterior probability
- observation model
- maximum likelihood
- robust tracking
- data association
- bayesian networks
- state space
- model selection
- markov chain
- mean shift
- tracking framework
- graphical models
- human body
- structure from motion
- image classification
- appearance model
- bayesian inference
- computational complexity
- three dimensional