Making Background Subtraction Robust to Sudden Illumination Changes.
Julien PiletChristoph StrechaPascal FuaPublished in: ECCV (4) (2008)
Keyphrases
- background subtraction
- color invariants
- dynamic background
- shadow detection
- moving objects
- background model
- surveillance system
- video surveillance
- foreground objects
- object detection
- background modeling
- motion detection
- image sequences
- foreground detection
- varying illumination
- frame differencing
- gaussian mixture model
- illumination variations
- background image
- background modeling and subtraction
- partial occlusion
- moving object detection
- moving camera
- dynamic scenes
- foreground segmentation
- detection of moving objects
- lighting conditions
- illumination invariant
- template matching
- color constancy
- appearance model
- object tracking
- foreground background segmentation
- machine learning
- single image
- pixel intensities
- post processing
- three dimensional