A robust framework for object tracking based on corrected background-weighted histogram mean shift and unscented Kalman filter.
Eman AhmedAli AhmadMohie HadhoudPublished in: IPAS (2014)
Keyphrases
- mean shift
- object tracking
- visual object tracking
- partial occlusion
- particle filter
- kalman filter
- visual tracking
- tracking framework
- robust tracking
- graph cuts
- appearance model
- video surveillance
- feature space
- particle filtering
- density function
- color histogram
- multiple cameras
- object appearance
- video sequences
- data association
- target tracking
- computer vision
- reinforcement learning
- body parts
- foreground objects
- multiscale
- learning algorithm
- image processing