Pregled bibliografske jedinice broj: 409941
Automatic adjustment of detection parameters in forest fire video monitoring system
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: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2009. str. 270-275 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 409941 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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 : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - 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, 25.05.2009. - 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
Projekti:
023-0232005-2003 - AgISEco - Agentski orijentirani inteligentni sustavi nadzora i zaštite okoliša (Stipaničev, Darko, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
