Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction.
Nicola GreggioAlexandre BernardinoCecilia LaschiPaolo DarioJosé Santos-VictorPublished in: ISDA (2010)
Keyphrases
- gaussian mixture model
- background subtraction
- video segmentation
- video processing
- detecting moving objects
- video surveillance
- mixture model
- traffic monitoring
- video sequences
- background model
- motion detection
- foreground objects
- dynamic background
- feature vectors
- segmentation method
- video analysis
- em algorithm
- probability density
- video frames
- expectation maximization
- dynamic scenes
- moving camera
- gaussian mixture
- maximum likelihood
- density estimation
- feature space
- covariance matrices
- mixture of gaussians
- surveillance videos
- probability density function
- machine learning
- unsupervised learning
- multi class
- probabilistic model
- moving objects
- image processing
- information retrieval