Title :
Flame Region Detection Based on Histogram Backprojection
Author :
Wirth, Michael ; Zaremba, Ryan
Author_Institution :
Sch. of Comput. Sci., Univ. of Guelph, Guelph, ON, Canada
fDate :
May 31 2010-June 2 2010
Abstract :
Fire detection using video offers a novel way of detecting fire in spaces where conventional smoke-based fire detectors tend to exhibit high false alarm behavior. This paper explores a simple algorithm for flame detection based on the use of a modified histogram back projection algorithm in YCbCr colour space.
Keywords :
feature extraction; fires; image colour analysis; statistical analysis; video signal processing; YCbCr colour space; fire detection; flame region detection; histogram backprojection algorithm; video; Combustion; Computer vision; Costs; Detection algorithms; Economic indicators; Fires; Histograms; Orbital robotics; Smoke detectors; Testing;
Conference_Titel :
Computer and Robot Vision (CRV), 2010 Canadian Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-6963-5
DOI :
10.1109/CRV.2010.29
