Anomaly detection with Bayesian Gauss Background Model in hyperspectral images.
Yunus Emre SahinSertac ArisoyKoray KayabolPublished in: SIU (2018)
Keyphrases
- anomaly detection
- hyperspectral images
- background model
- background subtraction
- hyperspectral
- motion detection
- foreground objects
- moving objects
- remote sensing
- moving target
- bayesian networks
- segmentation algorithm
- maximum likelihood
- image sequences
- pixel level
- video surveillance
- multispectral
- behavior analysis
- gaussian mixture model
- dynamic scenes
- object detection
- surveillance system
- pattern recognition
- video sequences
- infrared
- image data
- unsupervised learning
- object recognition
- moving camera
- reinforcement learning
- multiscale
- em algorithm