An Early Fire-Detection Method Based on Image Processing (TA-P8)

Author(s) : Thou-Ho (Chao-Ho) Chen (Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Taiwan) Ping-Hsueh Wu (Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Taiwan) Yung-Chuen Chiou (Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Taiwan)

Abstract : The paper presents an early fire-alarm raising method based on video processing. The basic idea of the proposed of fire-detection is to adopt a RGB (red, green, blue) model based chromatic and disorder measurement for extracting fire-pixels and smoke-pixels. The decision function of fire-pixels is deduced by the intensity and saturation of R component. The extracted fire-pixels will be verified if it is a real fire by both dynamics of growth and disorder, and furtherly smoke. Based on iterative checking the growing ratio of flames, an fire-alarm is given when the alarm-raising condition is met. Experimental results show that the developed technique can achieve fully automatic surveillance of fire accident with a lower false alarm rate and thus is very attractive for the important military, social security, commercial applications, and so on.

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