This paper presents a distributed multi-camera visual surveillance system for automatic scene interpretation of airport aprons. The system comprises camera based tracking and classification of objects followed by sensor fusion and high level interpretation based on cognitive spatio-temporal reasoning. The performance of the system is demonstrated for a range of test scenarios.
Mots clé:
AVITRACK, Apron Activity Recognition, Scene Tracking, Scene Understanding
@INPROCEEDINGS{ author = {Borg, Mark and Thirde, David and Ferryman, James and Fusier, Florent and Valentin, Valery and Bremond, Francois and Thonnat, Monique}, title = {A Real-Time Scene Understanding System for Airport Apron Monitoring}, booktitle = {Proceedings of 2006 IEEE International Conference on Computer Vision Systems}, year = {January 5-7, 2006}, address = {New York, USA} publisher = {IEEE Computer Society} }