Importance sampling applied to Pincus maximization for particle filter MAP estimation.
Saikat SahaFredrik GustafssonPublished in: FUSION (2012)
Keyphrases
- importance sampling
- particle filter
- monte carlo
- particle filtering
- map estimation
- kalman filter
- object tracking
- visual tracking
- markov chain
- sequential monte carlo
- motion model
- data association
- markov chain monte carlo
- state space
- maximum a posteriori
- observation model
- appearance model
- bayesian inference
- proposal distribution
- mean shift
- maximum likelihood
- markov random field
- approximate inference
- energy function
- posterior distribution
- parameter estimation
- model selection
- dynamic programming
- prior knowledge
- reinforcement learning