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Pregled bibliografske jedinice broj: 409941

Automatic adjustment of detection parameters in forest fire video monitoring system


Bugarić, Marin; Jakovčević, Toni; Stipaničev, Darko
Automatic adjustment of detection parameters in forest fire video monitoring system // Proceedings of MIPRO 2009, 32nd International Convention, Vol. III., CTS & CIS / Bogunović, Nikola ; Ribarić, Slobodan (ur.).
Opatija, Croatia: MIPRO, 2009. str. 270-275 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Automatic adjustment of detection parameters in forest fire video monitoring system

Autori
Bugarić, Marin ; Jakovčević, Toni ; Stipaničev, Darko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of MIPRO 2009, 32nd International Convention, Vol. III., CTS & CIS / Bogunović, Nikola ; Ribarić, Slobodan - Opatija, Croatia : MIPRO, 2009, 270-275

ISBN
978-953-233-045-8

Skup
32nd international convention on information and communication technology, electronics and microelectronics

Mjesto i datum
Opatija, Hrvatska, 25-29.05.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
False alarm reduction; forest fire; micro location forest fire risk index

Sažetak
Forest fires represent a constant threat to ecological systems, infrastructure and human lives. Great efforts are therefore made to achieve early forest fire detection, which is traditionally based on human surveillance. Today, however, in almost every country which encounters high risk of forest fires, automatic systems are being developed and proposed. In Croatia exists one such system called Intelligent Forest Fire Monitoring System (iForestFire® ) developed at Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture University of Split. By now it was successfully implemented in various Croatian regions and National and Nature Parks. This paper describes one particular problem encountered with practical implementation of iForestFire® system and that is the adjustment of detection algorithm parameters in order to minimize the false alarms. The false alarm rate could be greatly diminished by appropriate adjustment of detection algorithms parameters according to local meteorological conditions, but also having in mind the assessment of forest fire risk degree for that particular location.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
023-0232005-2003 - AgISEco - Agentski orijentirani inteligentni sustavi nadzora i zaštite okoliša (Darko Stipaničev, )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split