Segmentation Tracking and Recognition Based on Foreground-Background Absolute Features, Simplified SIFT, and Particle Filters.
Yong-Gun JoJa-Yong LeeHoon KangPublished in: IEEE Congress on Evolutionary Computation (2006)
Keyphrases
- particle filter
- foreground background
- robust tracking
- particle filtering
- object tracking
- visual tracking
- multiple objects
- mean shift
- object recognition
- image features
- partial occlusion
- feature extraction
- kalman filter
- motion model
- feature vectors
- color histogram
- object segmentation
- foreground and background
- appearance model
- data association
- segmentation algorithm
- background subtraction
- motion segmentation
- keypoints
- state space
- foreground objects
- object detection
- dynamic programming
- moving objects
- foreground segmentation
- image sequences
- pixel level
- level set
- image matching
- segmentation method