Likelihood Adjustment Based on Informativeness of Observation for Extended Object Tracking.
Koichiro SuzukiNorikazu IkomaMitsutoshi MorinagaPublished in: ICCAIS (2019)
Keyphrases
- object tracking
- particle filter
- image sequences
- appearance model
- video sequences
- mean shift
- moving objects
- kalman filter
- appearance modeling
- robust object tracking
- computer vision
- visual tracking
- video surveillance
- multiple object tracking
- scene segmentation
- multiple cameras
- sparse representation
- maximum likelihood
- occlusion handling
- particle filtering
- multi camera
- video surveillance systems
- tracking accuracy
- tracking objects
- visual object tracking
- data association
- partial occlusion
- robust tracking
- object location
- multi view
- feature space
- object recognition
- multiscale
- learning algorithm