Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction.
Ziyang SongSamr AliNizar BouguilaPublished in: ICIAR (1) (2019)
Keyphrases
- gaussian mixture model
- bayesian learning
- background subtraction
- mixture model
- model selection
- expectation maximization
- foreground objects
- posterior distribution
- feature vectors
- background model
- variational bayes
- em algorithm
- maximum likelihood
- cross validation
- probability density function
- feature space
- mixture of gaussians
- gaussian distribution
- training set
- gaussian mixture
- training data
- probabilistic model
- hidden markov models
- face recognition
- data mining