Adaptive learning of multi-subspace for foreground detection under illumination changes.
Yuanquiang (Evan) DongGuilherme N. DeSouzaPublished in: Comput. Vis. Image Underst. (2011)
Keyphrases
- adaptive learning
- foreground detection
- background modeling
- human detection
- varying illumination
- video surveillance
- background subtraction
- subspace learning
- learning environment
- learning objects
- linear subspace
- reinforcement learning
- low dimensional
- single image
- dynamic background
- dimensionality reduction
- e learning
- illumination invariant
- concept maps
- lighting conditions
- high dimensional data
- illumination conditions
- foreground objects
- moving objects
- color constancy
- partial occlusion
- high dimensional
- learning resources
- motion detection
- subspace clustering
- video sequences
- machine learning
- learning activities