Computer vision based method for real-time fire and flame detection

Date
2006-01-01
Advisor
Instructor
Source Title
Pattern Recognition Letters
Print ISSN
0167-8655
Electronic ISSN
Publisher
Elsevier BV
Volume
27
Issue
1
Pages
49 - 58
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
Abstract

This paper proposes a novel method to detect fire and/or flames in real-time 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 the wavelet domain. Quasi-periodic behavior in flame boundaries is detected by performing temporal wavelet transform. Color variations in flame regions are detected by computing the spatial wavelet transform of moving fire-colored regions. Another clue used in the fire detection algorithm is the irregularity of the boundary of the fire-colored region. All of the above clues are combined to reach a final decision. Experimental results show that the proposed method is very successful in detecting fire and/or flames. In addition, it drastically reduces the false alarms issued to ordinary fire-colored moving objects as compared to the methods using only motion and color clues. © 2005 Elsevier B.V. All rights reserved.

Course
Other identifiers
Book Title
Keywords
Event detection in video, Fire detection in video, Gaussian mixture model, Wavelet transform, Cameras, Color, Computer vision, Data acquisition, Decision making, Mathematical transformations
Citation
Published Version (Please cite this version)