정보처리학회지 (Korea Information Processing Society Review)

  • 제29권3호
  • /
  • Pages.14-21
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  • 2022
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  • 1226-9182(pISSN)
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  • 2734-0376(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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딥러닝을 이용한 화재 감지 아키텍처

  • 발행 : 2022.09.30
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참고문헌

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  2. Jun Seon Choi and Young Hoon Joo, "Fire Detection Method Using CCTV-based Flame Features and Density-based Spatial Clustering", The Transactions of the Korean Institute of Electrical Engineers, vol. 71, no. 4, pp. 656~662, 2022 https://doi.org/10.5370/KIEE.2022.71.4.656
  3. Turgay Celik and Hasan Demirel, "Fire detection in video sequences using a generic color model", Fire Safety Journal 44, pp. 147-158, 2009 https://doi.org/10.1016/j.firesaf.2008.05.005
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  9. Jihyeon Yim, Hyunho Park, Wonjae Lee, Seonghyun Kim, Yong-Tae Lee University of Science and Technology Electronics and Telecommunication Research Institute, "Deep Learning Based CCTV Fire Detection System", 한국방송.미디어공학회 추계학술대회, 2017
  10. *Ji-Hoon Shin, Yong-Min Park, Tae-Hwan Kim, "Fire Detection Based on Convolutional Neural Network", 대한전자공학회 학술대회709 - 712 (4 pages), Jun. 2017
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  12. Jianchen Miao; Guangyuan Zhao; Yue Gao; Yinzhe Wen, "Fire Detection Algorithm Based on Improved YOLOv5", International Conference on Control, Automation and Information Sciences (ICCAIS), Oct. 2021
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