Spatio-temporal Gaussian Mixture Model for Background Modeling.
Youngsung SohYongsuk HaeIntaek KimPublished in: ISM (2012)
Keyphrases
- gaussian mixture model
- background modeling
- background subtraction
- background model
- moving objects
- mixture of gaussians
- foreground detection
- mixture model
- motion detection
- density estimation
- video surveillance
- em algorithm
- maximum likelihood
- feature vectors
- gaussian mixture
- foreground objects
- expectation maximization
- image sequences
- gaussian distribution
- probability density function
- probability density
- dynamic scenes
- moving camera
- feature space
- subspace learning
- video sequences
- computer vision
- object detection
- complex background
- varying illumination
- object tracking
- dimensionality reduction
- face recognition
- feature selection