Video based fire detection at night
Author
Taşdemir, Kasım
Günay, Osman
Töreyin, Behçet Uğur
Çetin, A. Enis
Date
2009Source Title
Proceedings of the IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
Publisher
IEEE
Pages
720 - 723
Language
Turkish
Type
Conference PaperItem Usage Stats
158
views
views
134
downloads
downloads
Abstract
There has been increasing interest in the study of video based fire detection as video based surveillance systems become widely available for indoor and outdoor monitoring applications. Video based fire detection methods in computer vision literature do not take into account whether the fire takes place in the day time or at night. A novel method explicitly developed for video based detection of fire at night (in the dark) is presented in this paper. The method comprises three sub-algorithms each of which characterizes certain part of fire at night. Individual decisions of the sub-algorithms are combined together using a least-mean-square based decision fusion approach.
Keywords
Decision fusionFire detection
Fire-detection method
Least mean squares
Novel methods
Outdoor monitoring
Video based surveillance
Computer vision
Fire detectors
Security systems
Signal detection
Signal processing