Real-time fire and flame detection in video
Date
2005
Advisor
Instructor
Source Title
(ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
Print ISSN
1520-6149
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
669 - 672
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract
This paper proposes a novel method to detect fire and/or flame by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker is detected by analyzing the video in wavelet domain. Periodic behavior in flame boundaries is detected by performing temporal wavelet transform. Color variations in fire is detected by computing the spatial wavelet transform of moving fire-colored regions. Other clues used in the fire detection algorithm include irregularity of the boundary of the fire colored region and the growth of such regions in time. All of the above clues are combined to reach a final decision.
Course
Other identifiers
Book Title
Keywords
Algorithms, Cameras, Color, Condition monitoring, Fire detectors, Real time systems, Video signal processing, Wavelet transforms, Fire detection algorithm, Flame boundaries, Spatial wavelet transform, Video data, Flame deflectors