Embedded architecture for noise-adaptive video object detection using parameter-compressed background modeling.
Kumara RatnayakeAishy AmerPublished in: J. Real Time Image Process. (2017)
Keyphrases
- background modeling
- object detection
- object detection and tracking
- background subtraction
- video surveillance
- real time
- varying illumination
- video sequences
- computer vision
- motion detection
- face detection
- moving objects
- background model
- object segmentation
- complex background
- foreground objects
- multi class
- video data
- multimedia
- multi camera
- subspace learning
- moving camera
- object categories
- object tracking
- dynamic scenes
- particle filter
- event detection
- post processing
- object recognition
- video analysis