An Introduction to Twisted Particle Filters and Parameter Estimation in Non-Linear State-Space Models.
Juha Ala-LuhtalaNick WhiteleyKari HeineRobert PichéPublished in: IEEE Trans. Signal Process. (2016)
Keyphrases
- parameter estimation
- particle filter
- estimation problems
- state space
- markov chain monte carlo
- statistical models
- random fields
- model selection
- maximum likelihood
- least squares
- markov random field
- em algorithm
- particle filtering
- parameter estimation algorithm
- approximate inference
- monte carlo
- object tracking
- observation model
- expectation maximization
- visual tracking
- parameter estimates
- likelihood function
- computer vision
- reinforcement learning
- state estimation
- bayesian inference
- mean shift
- kalman filter
- probabilistic model
- posterior distribution
- generative model
- appearance model