Vision for Robotics: a tool for model-based object tracking.
Markus VinczeMatthias J. SchlemmerPeter GemeinerMinu AyromlouPublished in: IEEE Robotics Autom. Mag. (2005)
Keyphrases
- object tracking
- computer vision
- particle filter
- mean shift
- image sequences
- appearance model
- video sequences
- kalman filter
- video surveillance
- scene segmentation
- moving objects
- tracking accuracy
- appearance modeling
- sparse representation
- multiple object tracking
- multi camera
- data association
- vision system
- pattern recognition
- partial occlusion
- multiple cameras
- object detection
- visual tracking
- tracked objects
- learning algorithm
- video surveillance systems
- occlusion handling
- vehicle tracking
- robust object tracking
- object appearance
- robust tracking
- particle filtering
- object recognition
- image processing
- tracking objects
- object location
- higher order
- data analysis
- data sets
- consistent labeling
- visual object tracking