Density assisted particle filters for state and parameter estimation.
Petar M. DjuricMónica F. BugalloJoaquín MíguezPublished in: ICASSP (2) (2004)
Keyphrases
- parameter estimation
- estimation problems
- particle filter
- state estimation
- markov chain monte carlo
- state space
- maximum likelihood
- least squares
- model selection
- statistical models
- em algorithm
- random fields
- particle filtering
- markov random field
- maximum likelihood estimation
- visual tracking
- object tracking
- parameter estimation algorithm
- kalman filter
- approximate inference
- posterior distribution
- likelihood function
- data association
- monte carlo
- mean shift
- expectation maximization
- multiple object tracking
- multiple objects
- motion model
- dynamic programming