Gradient-free maximum likelihood parameter estimation with particle filters.
George PoyiadjisSumeetpal S. SinghArnaud DoucetPublished in: ACC (2006)
Keyphrases
- parameter estimation
- maximum likelihood
- particle filter
- estimation problems
- markov chain monte carlo
- likelihood function
- em algorithm
- visual tracking
- particle filtering
- object tracking
- statistical models
- maximum likelihood estimation
- monte carlo
- expectation maximization
- state space
- motion model
- covariance matrices
- approximate inference
- state estimation
- data association
- maximum a posteriori
- kalman filter
- gaussian distribution
- estimation algorithm
- parameter estimation algorithm
- appearance model
- posterior distribution
- mean shift
- bayesian inference
- data mining
- generative model
- graph cuts
- bayesian networks
- proposal distribution
- image processing