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@article{ART001447233},
author={강원대학교 and Jea-Wook Yoo and 이강희 and Kim, yoon},
title={A Real Time Flame and Smoke Detection Algorithm Based on Conditional Test in YCbCr Color Model and Adaptive Differential Image},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2010},
volume={15},
number={5},
pages={57-65}

TY - JOUR
AU - 강원대학교
AU - Jea-Wook Yoo
AU - 이강희
AU - Kim, yoon
TI - A Real Time Flame and Smoke Detection Algorithm Based on Conditional Test in YCbCr Color Model and Adaptive Differential Image
JO - Journal of The Korea Society of Computer and Information
PY - 2010
VL - 15
IS - 5
PB - The Korean Society Of Computer And Information
SP - 57
EP - 65
SN - 1598-849X
AB - 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.
KW - Forest Fire;Fire Detection;Smoke Detection
DO -
UR -
ER -

강원대학교, Jea-Wook Yoo, 이강희 and Kim, yoon. (2010). 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, 15(5), 57-65.

강원대학교, Jea-Wook Yoo, 이강희 and Kim, yoon. 2010, "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, vol.15, no.5 pp.57-65.

강원대학교, Jea-Wook Yoo, 이강희, Kim, yoon "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 15.5 pp.57-65 (2010) : 57.

강원대학교, Jea-Wook Yoo, 이강희, Kim, yoon. A Real Time Flame and Smoke Detection Algorithm Based on Conditional Test in YCbCr Color Model and Adaptive Differential Image. 2010; 15(5), 57-65.

강원대학교, Jea-Wook Yoo, 이강희 and Kim, yoon. "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 15, no.5 (2010) : 57-65.

강원대학교; Jea-Wook Yoo; 이강희; Kim, yoon. 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, 15(5), 57-65.

강원대학교; Jea-Wook Yoo; 이강희; Kim, yoon. 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. 2010; 15(5) 57-65.

강원대학교, Jea-Wook Yoo, 이강희, Kim, yoon. A Real Time Flame and Smoke Detection Algorithm Based on Conditional Test in YCbCr Color Model and Adaptive Differential Image. 2010; 15(5), 57-65.

강원대학교, Jea-Wook Yoo, 이강희 and Kim, yoon. "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 15, no.5 (2010) : 57-65.