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Smoke color analysis of the standard color models for fire video surveillance

화재 영상감시를 위한 표준 색상모델의 연기색상 분석

  • Lee, Yong-Hun (Division of Electrical, Electronic and Control Engineering, Kongju National University) ;
  • Kim, Won-Ho (Division of Electrical, Electronic and Control Engineering, Kongju National University)
  • 이용훈 (공주대학교 전기전자제어공학부) ;
  • 김원호 (공주대학교 전기전자제어공학부)
  • Received : 2013.08.16
  • Accepted : 2013.09.06
  • Published : 2013.09.30

Abstract

This paper describes the color features of smoke in each standard color model in order to present the most suitable color model for somke detection in video surveillance system. Histogram intersection technique is used to analyze the difference characteristics between color of smoke and color of non smoke. The considered standard color models are RGB, YCbCr, CIE-Lab, HSV, and if the calculated histogram intersection value is large for the considered color model, then the smoke spilt characteristics are not good in that color model. If the calculated histogram intersection value is small, then the smoke spilt characteristics are good in that color model. The analyzed result shows that the RGB and HSV color models are the most suitable for color model based smoke detection by performing respectively 0.14 and 0.156 for histogram intersection value.

Keywords

Fire Detection;Image Processing;Smoke Detection;Video Surveillance System

Acknowledgement

Supported by : 미래창조과학부

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