Online multiple classifier boosting for object tracking.
Tae-Kyun KimThomas WoodleyBjörn StengerRoberto CipollaPublished in: CVPR Workshops (2010)
Keyphrases
- object tracking
- mean shift
- particle filter
- video sequences
- image sequences
- moving objects
- appearance model
- kalman filter
- computer vision
- video surveillance
- feature selection
- data association
- video surveillance systems
- partial occlusion
- visual tracking
- multi camera
- decision trees
- multiple cameras
- training data
- feature space
- multiple cues
- learning algorithm
- occlusion handling
- particle filtering
- robust object tracking
- weak classifiers
- appearance modeling
- consistent labeling
- visual object tracking
- tracking accuracy
- image processing
- sparse representation
- image classification
- multiple objects
- reinforcement learning
- multi class
- pattern recognition