On the use of particle filtering for maximum likelihood parameter estimation.
Olivier CappéEric MoulinesPublished in: EUSIPCO (2005)
Keyphrases
- particle filtering
- parameter estimation
- maximum likelihood
- visual tracking
- particle filter
- em algorithm
- object tracking
- expectation maximization
- kalman filter
- parameter estimation algorithm
- human motion
- random fields
- kalman filtering
- mean shift
- state estimation
- likelihood function
- parameter estimates
- dynamic bayesian networks
- posterior distribution
- approximate inference
- appearance model
- markov chain monte carlo
- estimation algorithm
- hyperparameters
- maximum a posteriori
- density function
- gaussian distribution
- data association
- video sequences
- state space
- computer vision