Online failure detection and correction for Bayesian sparse feature-based object tracking.
Tewodros Atanaw BiresawMauricio Soto AlvarezCarlo S. RegazzoniPublished in: AVSS (2011)
Keyphrases
- object tracking
- failure detection
- sparse representation
- image sequences
- appearance model
- particle filter
- mean shift
- bayesian filtering
- video sequences
- video surveillance
- moving objects
- computer vision
- kalman filter
- visual tracking
- multiple object tracking
- particle filtering
- appearance modeling
- high dimensional
- scene segmentation
- robust object tracking
- data association
- multiple cameras
- video surveillance systems
- tracking accuracy
- fault detection
- object appearance
- multi camera
- partial occlusion
- pairwise
- image features
- optimal solution
- consistent labeling
- signal processing
- tracked objects
- pattern recognition
- tracking objects
- image representation