Conflicting spatial representations impairs object tracking performance in an aerospace environment.
Joseph W. GeesemanStephanie BaltersPublished in: Int. J. Hum. Comput. Stud. (2022)
Keyphrases
- object tracking
- particle filter
- image sequences
- mean shift
- appearance model
- video sequences
- video surveillance
- moving objects
- kalman filter
- object representation
- sparse representation
- multiple object tracking
- video surveillance systems
- scene segmentation
- spatial information
- multiple cameras
- robust object tracking
- computer vision
- occlusion handling
- robust tracking
- multi camera
- visual tracking
- data association
- tracking accuracy
- appearance modeling
- visual object tracking
- data sets
- tracking objects
- mobile robot
- object recognition
- particle filtering
- partial occlusion
- space time
- dynamic programming
- feature space
- multiscale