A Bayesian EM algorithm for optimal tracking of a maneuvering target in clutter.
Andrew LogothetisVikram KrishnamurthyJan HolstPublished in: Signal Process. (2002)
Keyphrases
- em algorithm
- bayesian model selection
- maximum likelihood
- expectation maximization
- expectation maximisation
- mixture model
- parameter estimation
- maximum likelihood estimation
- gaussian mixture model
- likelihood function
- gaussian mixture
- log likelihood
- incomplete data
- hyperparameters
- particle filter
- particle filtering
- generative model
- maximum a posteriori
- posterior distribution
- penalized likelihood
- maneuvering target
- object tracking
- kalman filter
- model based clustering
- closed form
- image sequences
- dynamic programming
- posterior probability
- visual tracking
- appearance model
- model selection
- density estimation
- bayesian framework
- target tracking
- mean shift
- unsupervised learning
- video sequences
- multiscale
- bayesian networks