Flame detection in video using hidden Markov models

Date
2005
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Source Title
Proceedings of the International Conference on Image Processing, IEEE 2005
Print ISSN
1522-4880
Electronic ISSN
Publisher
IEEE
Volume
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Pages
1230 - 1233
Language
English
Type
Conference Paper
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Abstract

This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame flicker process is also detected by using a hidden Markov model. Markov models representing the flame and flame colored ordinary moving objects are used to distinguish flame flicker process from motion of flame colored moving objects. Spatial color variations in flame are also evaluated by the same Markov models, as well. These clues are combined to reach a final decision. False alarms due to ordinary motion of flame colored moving objects are greatly reduced when compared to the existing video based fire detection systems.

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Keywords
Flame detection, Flame flicker processes, Hidden Markov models, Color image processing, Data processing, Markov processes, Mathematical models, Motion estimation, Object recognition, Video recording
Citation
Published Version (Please cite this version)