A sequential Monte Carlo approach for extended object tracking in the presence of clutter.
Nikolay PetrovLyudmila MihaylovaAmadou GningDonka S. AngelovaPublished in: GI-Jahrestagung (2011)
Keyphrases
- object tracking
- sequential monte carlo
- particle filter
- visual tracking
- particle filtering
- appearance model
- kalman filter
- mean shift
- video sequences
- image sequences
- partial occlusion
- video surveillance
- computer vision
- data association
- target tracking
- motion model
- state space
- moving objects
- robust tracking
- motion detection
- importance sampling
- multiple cues
- sparse representation
- multiple objects
- tracking framework
- motion estimation