A Forest Fire Detection System: The Meleager Approach

Author

Tsetsos, V. ; Sekkas, O. ; Tsoublekas, G. ; Hadjieythymiades, S. ; Zervas, E.

Author_Institution

Mobics Ltd., Athens, Greece

fYear

2012

fDate

5-7 Oct. 2012

Firstpage

320

Lastpage

326

Abstract

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 Meleager 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.

Keywords

cameras; computer vision; computerised monitoring; disasters; ecology; environmental science computing; forestry; piezoelectric devices; wildfires; Meleager system; decision fusion scheme; disasterous forest fire monitoring; disasterous forest fire prevention; earth ecology; forest fire detection system; groundbased visible range PTZ cameras; induced feedback; personalized alerts; visual fire detection subsystem; Detection algorithms; Geometry; Image color analysis; Image segmentation; Motion detection; Object segmentation; Tiles; decision fusion; forest fire detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics (PCI), 2012 16th Panhellenic Conference on

Conference_Location

Piraeus

Print_ISBN

978-1-4673-2720-6

Type

conf

DOI

10.1109/PCi.2012.62

Filename

6377412