Vision-Based Object Tracking Using an Optimally Positioned Cluster of Mobile Tracking Stations.
Jasmine CashbaughChristopher KittsPublished in: IEEE Syst. J. (2018)
Keyphrases
- object tracking
- particle filter
- computer vision
- mean shift
- kalman filter
- appearance model
- tracking accuracy
- video sequences
- image sequences
- automatic tracking
- video surveillance
- tracking objects
- visual tracking
- tracking framework
- motion detection
- multiple object tracking
- particle filtering
- appearance modeling
- moving objects
- object tracking algorithm
- partial occlusion
- vision system
- vehicle tracking
- occlusion handling
- robust object tracking
- visual object tracking
- tracked objects
- data association
- surveillance videos
- robust tracking
- real time
- multiple cameras
- visual surveillance
- object appearance
- multi camera
- scene segmentation
- crowded scenes
- three dimensional
- data points
- motion model
- sensor fusion
- camera views
- target tracking
- sparse representation
- signal processing
- dynamic programming
- deformable objects
- feature selection