A texton-based kernel density estimation approach for background modeling under extreme conditions.
Concetto SpampinatoSimone PalazzoIsaak KavasidisPublished in: Comput. Vis. Image Underst. (2014)
Keyphrases
- kernel density estimation
- background modeling
- density estimation
- object segmentation
- mean shift
- foreground objects
- density function
- background subtraction
- mixture of gaussians
- probability density function
- object tracking
- background model
- object detection
- moving objects
- probability density
- particle filter
- object recognition
- computer vision
- image classification
- higher order