Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection.
Ziyang SongSamr AliNizar BouguilaPublished in: IET Image Process. (2020)
Keyphrases
- gaussian mixture model
- background subtraction
- feature selection
- feature space
- mixture model
- video surveillance
- foreground objects
- feature vectors
- background model
- foreground detection
- motion detection
- em algorithm
- feature extraction
- moving camera
- text classification
- maximum likelihood
- support vector
- machine learning
- background modeling
- feature set
- expectation maximization
- model selection
- unsupervised learning
- probability density
- gaussian mixture
- gaussian distribution
- multi class
- mixture of gaussians
- density estimation
- classification accuracy
- knn
- support vector machine
- covariance matrices
- dimensionality reduction
- similarity measure
- training data
- probability density function
- preprocessing
- maximum likelihood estimation
- three dimensional