DocumentCode
2572895
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
fYear
2010
fDate
May 31 2010-June 2 2010
Firstpage
167
Lastpage
174
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision (CRV), 2010 Canadian Conference on
Conference_Location
Ottawa, ON
Print_ISBN
978-1-4244-6963-5
Type
conf
DOI
10.1109/CRV.2010.29
Filename
5479188
Link To Document