본문 바로가기
  • Home

A Real Time Flame and Smoke Detection Algorithm Based on Conditional Test in YCbCr Color Model and Adaptive Differential Image

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(5), pp.57-65
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

강원대학교 1 Jea-Wook Yoo 2 이강희 1 Kim, yoon 3

1강원대학교 컴퓨터정보통신공학
2강원대학교 컴퓨터정보통신학과
3강원대학교

Accredited

ABSTRACT

In this paper, we propose a new real-time algorithm detecting the flame and smoke in digital CCTV images. Because the forest fire causes the enormous human life and damage of property, the early management according to the early sensing is very important. The proposed algorithm for monitoring forest fire is classified into the flame sensing and detection of smoke. The flame sensing algorithm detects a flame through the conditional test at color model from the single frame. For the detection of smoke, firstly the background range is set by using differences between current picture and the average picture among the adjacent frames in the weighted value, and the pixels which get out of this range and have a gray-scale are detected in the smoke area. Because the proposed flame sensing algorithm is stronger than the existing algorithms in the change of the illuminance according to the quantity of sunshine, and the smoke detection algorithm senses the pixel of a gray-scale with the smoke considering the amount of change for unit time, the effective early forest fire detection is possible. The experimental results indicate that the proposed algorithm provides better performance than existing algorithms.

Citation status

* References for papers published after 2022 are currently being built.