The Community for Technology Leaders
2012 16th Panhellenic Conference on Informatics (2012)
Piraeus, Greece Greece
Oct. 5, 2012 to Oct. 7, 2012
ISBN: 978-1-4673-2720-6
pp: 320-326
Forest fires cause immeasurable damages to indispensable resources for human survival, destroy the balance of earth ecology and worst of all they frequently cost human lives. In recent years, early fire detection systems have been emerged to provide monitoring and prevention of the disasterous forest fires. Among them, the Meleager1 system aims to offer one of the most advanced and integrated technology solutions for fire protection worldwide by integrating several innovative features. This paper outlines one of the major components of the Mel eager system, that is the visual fire detection sybsystem. Ground based visible range PTZ cameras monitor the area of interest and a low level decision fusion scheme is used to combine individual decisions of noumerous fire detection algorithms. Personalized alerts and induced feedback is used to adapt the detection process and improve the overall system performance.
Image color analysis, Tiles, Object segmentation, Detection algorithms, Motion detection, Image segmentation, Geometry, decision fusion, forest fire detection

S. Hadjieythymiades, E. Zervas, G. Tsoublekas, O. Sekkas and V. Tsetsos, "A Forest Fire Detection System: The Meleager Approach," 2012 16th Panhellenic Conference on Informatics(PCI), Piraeus, Greece Greece, 2012, pp. 320-326.
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