Flame detection in video using hidden Markov models
Date
2005Source Title
Proceedings of the International Conference on Image Processing, IEEE 2005
Print ISSN
1522-4880
Publisher
IEEE
Pages
1230 - 1233
Language
English
Type
Conference PaperItem Usage Stats
249
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262
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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.
Keywords
Flame detectionFlame flicker processes
Hidden Markov models
Color image processing
Data processing
Markov processes
Mathematical models
Motion estimation
Object recognition
Video recording