Moving object detection using a background modeling based on entropy theory and quad-tree decomposition.
Omar ElharroussDriss MoujahidSamah ElkahHamid TairiPublished in: J. Electronic Imaging (2016)
Keyphrases
- moving object detection
- background modeling
- background subtraction
- video surveillance
- motion detection
- varying illumination
- background model
- moving objects
- object detection
- object tracking
- subspace learning
- multi camera
- complex background
- particle filter
- moving camera
- image sequences
- frame rate
- foreground objects
- mixture of gaussians
- surveillance system
- density estimation
- markov random field
- motion estimation
- optical flow