Foreground Detection in Video Sequences with Probabilistic Self-Organizing Maps.
Ezequiel López-RubioRafael Marcos Luque BaenaEnrique DomínguezPublished in: Int. J. Neural Syst. (2011)
Keyphrases
- self organizing maps
- foreground detection
- video sequences
- foreground objects
- dynamic background
- background modeling
- background subtraction
- neural network
- unsupervised learning
- video surveillance
- moving objects
- human detection
- object tracking
- moving object detection
- input data
- background model
- motion estimation
- probabilistic model
- image sequences
- video data
- video frames
- bayesian networks
- frame rate
- human actions
- moving camera
- object segmentation
- k means
- template matching
- maximum likelihood
- camera motion
- gaussian mixture model
- video camera
- dynamic scenes
- clustering algorithm
- machine learning