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Fourth IEEE International Conference on Computer Vision Systems (ICVS'06)
A Real-Time Scene Understanding System for Airport Apron Monitoring
New York, New York
January 04-January 07
ISBN: 0-7695-2506-7
ASCII Text
x 
 
David Thirde, Mark Borg, James Ferryman, Florent Fusier, Valery Valentin, Francois Bremond, Monique Thonnat, "A Real-Time Scene Understanding System for Airport Apron Monitoring," Computer Vision Systems, International Conference on, pp. 26, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICVS.2006.7,
author = {David Thirde and Mark Borg and James Ferryman and Florent Fusier and Valery Valentin and Francois Bremond and Monique Thonnat},
title = {A Real-Time Scene Understanding System for Airport Apron Monitoring},
journal ={Computer Vision Systems, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2506-7},
pages = {26},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICVS.2006.7},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision Systems, International Conference on
TI - A Real-Time Scene Understanding System for Airport Apron Monitoring
SN - 0-7695-2506-7
SP
EP
A1 - David Thirde,
A1 - Mark Borg,
A1 - James Ferryman,
A1 - Florent Fusier,
A1 - Valery Valentin,
A1 - Francois Bremond,
A1 - Monique Thonnat,
PY - 2006
KW - null
VL - 0
JA - Computer Vision Systems, International Conference on
ER -
 
David Thirde, The University of Readin, UK
Mark Borg, The University of Readin, UK
James Ferryman, The University of Readin, UK
Florent Fusier, ORION Team - INRIA, France
Valery Valentin, ORION Team - INRIA, France
Francois Bremond, ORION Team - INRIA, France
Monique Thonnat, ORION Team - INRIA, France
This paper presents a distributed multi-camera 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 objects on the apron. The Scene Understanding module performs high level interpretation of the apron activities by applying cognitive spatio-temporal reasoning. The performance of the complete system is demonstrated for a range of representative test scenarios.
Citation:
David Thirde, Mark Borg, James Ferryman, Florent Fusier, Valery Valentin, Francois Bremond, Monique Thonnat, "A Real-Time Scene Understanding System for Airport Apron Monitoring," icvs, pp.26, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 2006
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