Naslov
Intelligent algorithm for smoke extraction in autonomous forest fire detection

Autori
Grubišić, Ivan ; Kolarić, Darko ; Skala, Karolj

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

Izvornik
Proceedings of the 32nd International Convention MIPRO 2009, vol. 1 / Biljanović, Petar ; Skala, Karolj - Rijeka : Denona, 2009, 363-369

ISBN
978-953-233-044-1

Skup
32nd International Convention MIPRO 2009

Mjesto i datum
Opatija, Hrvatska, 25.05.2009. - 29.05.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
forest fire detection ; smoke detection ; image processing

Sažetak
Forest fire, if not detected early enough, can cause great damage. In order to reduce it, it is vital to detect fire as soon as possible and act upon it. In its early stage, forest fire manifests itself primarily as smoke, as flames are too little to be seen. Therefore, to ensure forest fire detection in its earliest stages, smoke detection is utilized. Autonomous forest fire detection based on smoke detection is currently one of the greatest challenges in image processing field. The main reason for it is that there are lots of smoke-resembling natural phenomena such as clouds, cloud shadows and dust. So the essence of the problem lies in separating these phenomena from real smoke. In this article we propose a smoke detection algorithm that combines motion detection, edge detection, spectrum analyzing and moving shape analyzing algorithms, matched together to increase detection rate and to decrease false alarm rate.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA