DeNos22: A Pipeline to Learn Object Tracking Using Simulated Depth.
Dominik PenkMaik HornChristoph StrohmeyerFrank BauerMarc StammingerPublished in: VISIGRAPP (5: VISAPP) (2023)
Keyphrases
- object tracking
- particle filter
- image sequences
- moving objects
- appearance model
- video sequences
- kalman filter
- video surveillance
- mean shift
- computer vision
- multi camera
- depth information
- sparse representation
- visual tracking
- robust object tracking
- occlusion handling
- particle filtering
- multiple object tracking
- tracking accuracy
- object location
- tracking objects
- multiple cameras
- partial occlusion
- appearance modeling
- video surveillance systems
- robust tracking
- tracked objects
- reinforcement learning
- object appearance
- depth map
- image classification
- pattern recognition
- search algorithm
- consistent labeling
- visual object tracking