DocumentCode :
2239696
Title :
A system for real-time fire detection
Author :
Healey, Glenn ; Slater, David ; Lin, Ted ; Drda, Ben ; Goedeke, A. Donald
Author_Institution :
Donmar Ltd., Newport Beach, CA, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
605
Lastpage :
606
Abstract :
A real-time system for automatic fire detection using color video input is presented. Such a system has significant advantages over traditional ultraviolet and infrared fire detectors. These include improved detection, fewer false alarms, and additional descriptive information about fire location, size, and growth rate. From the physical properties of fire, algorithms are derived for fire detection based on the spectral, spatial, and temporal properties of fire events. These algorithms are integrated into a system that has been tested successfully on a wide range of fire and false alarm stimuli. Experimental results are presented demonstrating system performance on a burning jet fuel fire
Keywords :
alarm systems; computer vision; detectors; fires; real-time systems; alarm system; automatic fire detection; color video input; fire location; growth rate; real-time system; Event detection; Fires; Fuels; Infrared detectors; Infrared sensors; Layout; Machine vision; Real time systems; Robustness; Signal detection; System performance; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.341064
Filename :
341064
Link To Document :
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