Multi-sensor object tracking performance limits by the Cramer-Rao lower bound.
Joris DomhofRiender HappeePieter JonkerPublished in: FUSION (2017)
Keyphrases
- object tracking
- multi sensor
- cramer rao lower bound
- data fusion
- infrared
- particle filter
- image fusion
- image sequences
- kalman filter
- video sequences
- multiple sensors
- data association
- mean shift
- moving objects
- multi camera
- appearance model
- motion parameters
- video surveillance
- sensor fusion
- sparse representation
- computer vision
- visual tracking
- partial occlusion
- multiple cameras
- multiresolution
- visual information
- particle filtering
- fisher information
- maximum likelihood
- reinforcement learning
- image registration
- image segmentation
- pattern recognition
- visual features
- pose estimation
- remote sensing
- motion analysis
- camera motion