Automated Scene Understanding for Airport Aprons

LES AUTEURS James Ferryman, Mark Borg, David Thirde, Florent Fusier, Valéry Valentin, François Bremond, Monique Thonnat, Josep Aguilera, Martin Kampel

RESUME:

This paper presents a complete visual surveillance system for automatic
scene interpretation of airport aprons.  The system comprises two main
modules --- Scene Tracking and Scene Understanding.  The Scene Tracking
module is responsible for detecting, tracking and classifying the
semantic objects within the scene using computer vision.  The Scene
Understanding module performs high level interpretation of the observed
objects by detecting video events using cognitive vision techniques
based on spatio-temporal reasoning. The performance of the system is
evaluated for a series of pre-defined video events specified using a
video event ontology.

Mots clé:

AVITRACK, Apron Activity Recognition, Scene Tracking, Scene
Understanding

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BibTeX reference:

@INPROCEEDINGS{
author = {Ferryman, James and Borg, Mark and Thirde, David and Fusier,
Florent and Valentin, Valery and Bremond, Francois and
Thonnat, Monique and Aguilera, Josep and Kampel, Martin},
title = {Automated Scene Understanding for Airport Aprons},
booktitle = {Proceedings of  18th Australian Joint Conference on
Artificial Intelligence},
year = { 5-9 December 2005},
address = {Sidney, Australia}
publisher = {Springer-Verlag}
}