DocumentCode :
706179
Title :
Fire and smoke detection without sensors: Image processing based approach
Author :
Celik, Turgay ; Ozkaramanli, Huseyin ; Demirel, Hasan
Author_Institution :
Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
1794
Lastpage :
1798
Abstract :
In this paper, novel models for fire and smoke detection using image processing is provided. The models use different colour models for both fire and smoke. The colour models are extracted using a statistical analysis of samples extracted from different type of video sequences and images. The extracted models can be used in complete fire/smoke detection system which combines colour information with motion analysis.
Keywords :
image processing; smoke detectors; colour information; fire detection; image processing based approach; motion analysis; smoke detection; video sequences; Europe; Fires; Fuzzy logic; Hidden Markov models; Image color analysis; Signal processing; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
Type :
conf
Filename :
7099116
Link To Document :
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