A Bayesian framework for Gaussian mixture background modeling.
Dar-Shyang LeeJonathan J. HullBerna ErolPublished in: ICIP (3) (2003)
Keyphrases
- bayesian framework
- gaussian mixture
- background modeling
- mixture of gaussians
- probability density function
- expectation maximization
- density estimation
- em algorithm
- generative model
- gaussian mixture model
- background subtraction
- maximum a posteriori
- mixture model
- background model
- motion detection
- closed form
- hyperparameters
- prior knowledge
- probability density
- density function
- covariance matrix
- object detection
- gaussian process
- parameter estimation
- object tracking
- moving objects
- maximum likelihood
- multi camera
- probabilistic model
- image segmentation
- particle filter
- unsupervised learning
- maximum likelihood estimation
- bayesian methods
- gaussian distribution
- markov random field
- image reconstruction
- high dimensional
- decision trees
- image sequences