Evolution strategies based particle filters for state and parameter estimation on nonlinear models.
Katsuji UosakiYuuya KimuraToshiharu HatanakaPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- parameter estimation
- estimation problems
- particle filter
- evolution strategy
- markov chain monte carlo
- state estimation
- nonlinear models
- statistical models
- state space
- least squares
- maximum likelihood
- em algorithm
- model selection
- markov random field
- approximate inference
- expectation maximization
- particle filtering
- object tracking
- posterior distribution
- mean shift
- likelihood function
- kalman filter
- evolutionary algorithm
- visual tracking
- computer vision
- data association
- linear models
- dynamic programming
- high dimensional
- search algorithm