On the role and the importance of features for background modeling and foreground detection.
Thierry BouwmansCaroline SilvaCristina MarghesMohammed Sami ZitouniHarish BhaskarCarl FrélicotPublished in: Comput. Sci. Rev. (2018)
Keyphrases
- background modeling
- foreground detection
- background subtraction
- human detection
- varying illumination
- motion detection
- subspace learning
- object detection
- video surveillance
- background model
- dynamic background
- multi camera
- moving object detection
- foreground segmentation
- moving objects
- feature space
- complex background
- object tracking
- feature extraction
- particle filter
- feature vectors
- video sequences
- foreground objects
- frame rate
- surveillance system
- lighting conditions
- template matching
- video data
- principal component analysis