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Pregled bibliografske jedinice broj: 603776

Vision Based Wildfire and Natural Risk Observers


Stipaničev, Darko; Šerić, Ljiljana; Braović, Maja; Krstinić, Damir; Jakovčević, Toni; Štula, Maja; Bugarić, Marin; Maras, Josip
Vision Based Wildfire and Natural Risk Observers // Proc. of 3rd International Conference on Image Processing Theory, Tools and Applications, OS1: Special session on Image Processing for Natural Risks (IPNR) / Khalifa Djemal (France), Mohamed Deriche (KSA) (ur.).
Istanbul, 2012. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Vision Based Wildfire and Natural Risk Observers

Autori
Stipaničev, Darko ; Šerić, Ljiljana ; Braović, Maja ; Krstinić, Damir ; Jakovčević, Toni ; Štula, Maja ; Bugarić, Marin ; Maras, Josip

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

Izvornik
Proc. of 3rd International Conference on Image Processing Theory, Tools and Applications, OS1: Special session on Image Processing for Natural Risks (IPNR) / Khalifa Djemal (France), Mohamed Deriche (KSA) - Istanbul, 2012

Skup
3rd International Conference on Image Processing Theory, Tools and Applications, OS1: Special session on Image Processing for Natural Risks (IPNR)

Mjesto i datum
Istanbul, 15-18.10.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Wildfire observer; Wildfire confabulation theory; Mechanism of Thought

Sažetak
Wildfires are natural risk phenomena that cause significant economic and environmental damage. In wildfire fighting strategy it is important to detect the wildfire in its initial stage and to apply, as soon as possible, the most appropriate fire fighting action. In both cases wildfire monitoring and surveillance systems are of great importance, so in the last decade the interest for various wildfire monitoring and surveillance systems has increased, both on the research and the implementation level. This paper describes one such system named iForestFire. It is an example of advanced terrestrial vision based wildfire monitoring and surveillance system, today widely used in various Croatian National and Nature Parks and regions, but it is also a system in constant development and improvement, both on theoretical and practical level. This paper describes its last improvements in video detection part that are based on notation of observer, cogent confabulation theory and mechanism of thought. Inclusion of cogent confabulation theory allows us to expend the use of existing wildfire observers to more general natural risk observers.

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