BEV Object Tracking for LIDAR-based Ground Truth Generation.
David MonteroNerea AranjueloOrti SenderosMarcos NietoPublished in: EUSIPCO (2019)
Keyphrases
- object tracking
- ground truth
- particle filter
- image sequences
- video sequences
- appearance model
- mean shift
- video surveillance
- kalman filter
- computer vision
- moving objects
- particle filtering
- visual tracking
- sparse representation
- appearance modeling
- multiple object tracking
- robust object tracking
- multiple cameras
- data association
- video surveillance systems
- tracking accuracy
- high quality
- partial occlusion
- occlusion handling
- multiscale
- visual object tracking
- image processing
- object appearance
- tracking objects
- object tracking algorithm
- point cloud
- multi camera
- surveillance system
- data sets
- machine learning