Flame detection in video using hidden Markov models

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.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: A. Enis Çetin, B. Ugur Töreyin, Yigithan Dedeoglu
• Keywords: Hidden Markov Models, ICIP 2005, Image Processing