The Smoke Detection for Early Fire-Alarming System Base on Video Processing

Authors:
Thou-Ho (Chao-Ho) Chen;Yen-Hui Yin;Shi-Feng Huang;Yan-Ting Ye
Affiliations:
National Kaohsiung University of Applied Sciences, Taiwan;National Kaohsiung University of Applied Sciences, Taiwan;National Kaohsiung University of Applied Sciences, Taiwan;National Kaohsiung University of Applied Sciences, Taiwan
Venue:
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Year:
2006

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Abstract

The paper presents an smoke-detection method for early fire-alarming system based on video processing. The basic strategy of smoke-pixel judgment is composed of two decision rules: a chromaticity-based static decision rule and a diffusion-based dynamic characteristic decision rule. The chromatic decision rule is deduced by grayish color of smoke and dynamic decision rule is dependent on the spreading attributes of smoke. Experimental results show that the proposed method can provide an early alarm at a lower false alarm rate before the fire burns up, and hence is very attractive for the important military, social security, commercial applications, and so on.