TensorMoG: A Tensor-Driven Gaussian Mixture Model with Dynamic Scene Adaptation for Background Modelling.
Synh Viet-Uyen HaNhat Minh ChungHung Ngoc PhanCuong Tien NguyenPublished in: Sensors (2020)
Keyphrases
- gaussian mixture model
- dynamic scenes
- background subtraction
- foreground objects
- background model
- static camera
- foreground detection
- background modeling
- mixture model
- video camera
- video surveillance
- multi view
- em algorithm
- motion detection
- feature vectors
- expectation maximization
- space time
- moving objects
- video sequences
- moving camera
- foreground and background
- maximum likelihood
- temporally coherent
- temporal coherence
- multiple views
- motion segmentation
- object detection
- spatio temporal
- feature space
- image sequences
- frame rate
- image processing
- dimensionality reduction
- color distribution
- probabilistic model
- training set