MONCE Tracking Metrics: a comprehensive quantitative performance evaluation methodology for object tracking.
Kenneth RapkoWanlin XieAndrew WalshPublished in: CoRR (2022)
Keyphrases
- object tracking
- particle filter
- mean shift
- appearance model
- video sequences
- kalman filter
- tracking accuracy
- particle filtering
- image sequences
- video surveillance
- moving objects
- appearance modeling
- automatic tracking
- visual tracking
- partial occlusion
- computer vision
- tracking objects
- vehicle tracking
- tracking framework
- motion detection
- multiple object tracking
- occlusion handling
- tracked objects
- data association
- visual object tracking
- robust object tracking
- visual surveillance
- robust tracking
- camera views
- multi camera
- object tracking algorithm
- multiple cameras
- bayesian filtering
- target tracking
- data sets
- sparse representation
- crowded scenes
- moving target
- pattern recognition
- image segmentation
- object appearance
- consistent labeling