Adaptive free cylindrical mixture model for foreground estimation in rapidly fluctuating dynamic background conditions.
M. G. S. JayasingheW. S. K. FernandoA. A. SenerathM. P. B. EkanayakeG. M. R. I. GodaliyaddaPublished in: ICIIS (2015)
Keyphrases
- mixture model
- dynamic background
- gaussian mixture model
- background subtraction
- density estimation
- background model
- foreground objects
- em algorithm
- moving object detection
- background modeling
- probabilistic model
- model selection
- generative model
- probability density
- expectation maximization
- moving objects
- language model
- maximum likelihood
- probability density function
- video sequences
- unsupervised learning
- gaussian mixture
- mixture of gaussians
- image sequences
- maximum likelihood estimation
- video surveillance
- machine learning
- moving camera
- human actions
- action recognition