Title :
Simulating 2D images of smoke clouds for the purpose of fire detection algorithms adjustment
Author :
Vasyukov, Vasiliy N. ; Podovinnikov, Andrey N.
Author_Institution :
Novosibirsk State Tech. Univ., Novosibirsk
Abstract :
A cellular model for simulating 2D grayscale images of smoke clouds is offered. The model is intended for adjustment of forest fire detection algorithms based on image analysis. Simulation of realistic smoke cloud image wellknown to be the fire character, in long image sequence allows estimating detection probability.
Keywords :
cellular automata; fires; forestry; remote sensing; smoke; 2D grayscale images; cellular automata; cellular model; forest fire detection algorithms; smoke clouds; Cameras; Clouds; Detection algorithms; Fires; Image sequence analysis; Image sequences; Information technology; Object detection; Smoke detectors; Stochastic processes;
Conference_Titel :
Strategic Technologies, 2008. IFOST 2008. Third International Forum on
Conference_Location :
Novosibirsk-Tomsk
Print_ISBN :
978-1-4244-2319-4
Electronic_ISBN :
978-1-4244-2320-0
DOI :
10.1109/IFOST.2008.4602977
