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An Intelligent Fire Learning and Detection System Using Convolutional Neural Networks

컨볼루션 신경망을 이용한 지능형 화재 학습 및 탐지 시스템

  • 최경주 (충북대학교 소프트웨어학과) ;
  • 전민성 (충북대학교 컴퓨터과학과)
  • Received : 2016.10.05
  • Accepted : 2016.10.13
  • Published : 2016.11.30

Abstract

In this paper, we propose an intelligent fire learning and detection system using convolutional neural networks (CNN). Through the convolutional layer of the CNN, various features of flame and smoke images are automatically extracted, and these extracted features are learned to classify them into flame or smoke or no fire. In order to detect fire in the image, candidate fire regions are first extracted from the image and extracted candidate regions are passed through CNN. Experimental results on various image shows that our system has better performances over previous work.

본 논문에서는 컨볼루션 신경망 모델을 이용한 지능형 화재 학습 및 탐지 시스템을 제안한다. 제안하는 시스템에서 사용된 신경망의 컨볼루션 층을 통해 불꽃 이미지와 연기 이미지에 대한 특징맵을 생성하고, 생성된 특징맵에 대하여 불꽃과 연기를 분류하는 학습을 진행한다. 이렇게 학습된 신경망에 움직임 특징 및 색상 특징만을 이용한 간단한 처리를 통해 검출된 화재 후보 영역 이미지를 입력시키면 입력된 영역에 화재가 발생했는지의 여부를 알 수 있다. 다양한 영상을 대상으로 실험한 결과 학습된 신경망은 화재 후보 영역에서 불꽃과 연기를 분류하는데 뛰어난 효과를 보여줌을 확인하였다.

Keywords

References

  1. K. Cheoi, "An Intelligent Fire Leaning and Detection System," Journal of Korea Multimedia Society, Vol.18, No.3, pp.359-367, 2015. https://doi.org/10.9717/kmms.2015.18.3.359
  2. T. Chen, Y. Yin, S. Huang, and Y. Yen, "The Smoke Detection for Early Fire-Alarming System Base on Video Processing," Intelligent Information Hiding and Multimedia Signal, pp.427-430, 2006.
  3. J. Hwang, "Study on the 3-step Fire Detection Algorithm Based on Color Image Processing," Master's Thesis, Kongju University, 2012.
  4. B. Lee, "A Study on Development of Tunnel Fire Detection Algorithm using the Image Processing," Master's Thesis, Sejong University, 2008.
  5. D. Son, "Research of video based real-time fire detection algorithm using GPU," Master's Thesis, Ulsan University, 2015.
  6. B. Toreyin, Y. Dedeoglu, and A. Cetin, "Contour based smoke detection in video using wavelets," Proceedings of 14th European Signal Processing Conference of EUSIPCO, pp.1-5, 2006.
  7. Editorial department of Hayeon, "Business Trends of Deep Learning and Big Data," Hayeon Press, 2016.
  8. I. Lee, B. Ko, and J. Nam, "Fire-Smoke Detection Based on Video using Dynamic Bayesian Networks," The Journal of Korea Information and Communication Society, Vol.34, Issue 4C, pp.388-396, 2009.
  9. Index of /VisiFire/Demo/FireClips [Internet], http://signal.ee.bilkent.edu.tr/VisiFire/Demo/FireClips/.
  10. Image Scaling using Deep Convolutional Neural Networks [Internet], http://engineering.flipboard.com/2015/05/scaling-convnets/.