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Proceedings Paper

A real-time event classification system for a fibre-optic perimeter intrusion detection system
Author(s): Seedahmed S. Mahmoud; Jim Katsifolis
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Paper Abstract

The most important challenge for distributed fibre-optic intrusion detection systems is to minimise the nuisance alarm rate without compromising the system sensitivity. Event classification and discrimination is a powerful tool which can be used to minimise nuisance alarm rates whilst maintaining optimum sensitivity and probability of detection. A novel event classification system using supervised neural networks together with a level crossing based feature extraction algorithm is presented for a fence-based fibre-optic intrusion detection system. Performance results are presented showing accurate classification of and discrimination between different intrusion and non-intrusion events such as fence-climbing, fencecutting, stone-throwing and stick-dragging.

Paper Details

Date Published: 5 October 2009
PDF: 4 pages
Proc. SPIE 7503, 20th International Conference on Optical Fibre Sensors, 75031P (5 October 2009); doi: 10.1117/12.834159
Show Author Affiliations
Seedahmed S. Mahmoud, Future Fibre Technologies Pty Ltd. (Australia)
Jim Katsifolis, Future Fibre Technologies Pty Ltd. (Australia)

Published in SPIE Proceedings Vol. 7503:
20th International Conference on Optical Fibre Sensors
Julian D. C. Jones, Editor(s)

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