Convolution particle filtering for parameter estimation in general state-space models.
Fabien CampilloVivien RossiPublished in: CDC (2006)
Keyphrases
- parameter estimation
- particle filtering
- particle filter
- statistical models
- state space
- model selection
- maximum likelihood
- least squares
- markov chain monte carlo
- random fields
- estimation problems
- model fitting
- em algorithm
- state estimation
- markov random field
- dynamic bayesian networks
- visual tracking
- parameter estimation algorithm
- image processing
- posterior distribution
- parameter estimates
- kalman filter
- approximate inference
- object tracking
- appearance model
- expectation maximization
- structure learning
- human motion
- probabilistic model
- search space
- reinforcement learning