Quantitative Bio-Science

Institute of Natural Science, College of Natural Sciences, Keimyung University (계명대학교 자연과학연구소)
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Computer Vision-based Method to Detect Fire Using Color Variation in Temporal Domain

  • Hwang, Ung (Department of Electronics and Computer Engineering, Hanyang University) ;
  • Jeong, Jechang (Department of Electronics and Computer Engineering, Hanyang University) ;
  • Kim, Jiyeon (Department of Statistics, Keimyung University) ;
  • Cho, JunSang (Industry-University Cooperation Foundation, Konkuk University) ;
  • Kim, SungHwan (Department of Applied Statistics, Konkuk University)
  • Received : 2018.09.28
  • Accepted : 2018.11.12
  • Published : 2018.11.30
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Abstract

It is commonplace that high false detection rates interfere with immediate vision-based fire monitoring system. To circumvent this challenge, we propose a fire detection algorithm that can accommodate color variations of RGB in temporal domain, aiming at reducing false detection rates. Despite interrupting images (e.g., background noise and sudden intervention), the proposed method is proved robust in capturing distinguishable features of fire in temporal domain. In numerical studies, we carried out extensive real data experiments related to fire detection using 24 video sequences, implicating that the propose algorithm is found outstanding as an effective decision rule for fire detection (e.g., false detection rate <10%).

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. Jeon G, Anisetti M, Bellandi V, Jeong J. Fuzzy rule-based edge-restoration algorithm in HDTV interlaced sequences. IEEE T Consum Electr 2007;53:725-731. https://doi.org/10.1109/TCE.2007.381752
  2. Jeon G, Anisetti M, Bellandi V, Damiani E, Jeong J, Rough sets-assisted subfield optimization for alternating current plasma display panel. IEEE T Consum Electr 2007;53:825-832. https://doi.org/10.1109/TCE.2007.4341552
  3. Jeon G, Anisetti M, Bellandi V, Damiani E, Jeong J, Fuzzy weighted approach to improve visual quality of edge-based filtering. IEEE T Consum Electr 2007;53:1661-1667. https://doi.org/10.1109/TCE.2007.4429267
  4. Jeon G, Anisetti M, Lee J, Bellandi V, Damiani E, Jeong J. Concept of linguistic variable-based fuzzy ensemble approach: application to interlaced HDTV sequences. IEEE T Fuzzy Syst 2009;17:1245-1258. https://doi.org/10.1109/TFUZZ.2009.2026638
  5. Jeon G, Jung MY, Anisetti M, Bellandi V, Damiani E, Jeong J. Specification of the geometric regularity model for fuzzy ifthen rulebased deinterlacing. J Disp Technol 2010;6:235-243. https://doi.org/10.1109/JDT.2009.2037524
  6. Ha C, Hwang U, Jeon G, Cho J, Jeong J. Vision-based fire detection algorithm using optical flow. IEEE Int'l Conf. on Complex, Intelligent and Software Intensive System: 526-530. Palermo; July. 2012.
  7. Phillips III W, Shah M, Lobo NV. Flame recognition in video. Pattern Recognition Lett 2002;23:319-327. https://doi.org/10.1016/S0167-8655(01)00135-0
  8. Chen TH, Wu PH, Chiou YC. An early fire-detection method based on image processing. IEEE Image Proc 2004;3:1707-1710.
  9. Chen TH, Yin YH, Huang SF, Ye YT. The smoke detection for early fire-alarming system base on video processing. in: Proceedings of the IEEE Int'l Conf. on Intelligent Information Hiding and Multimedia Signal Processing: 427-430. Pasadena; Dec. 2006.
  10. Yuan F. A fast accumulative motion orientation model based on integral image for video smoke detection. Pattern Recognition Lett 2008;29:925-932. https://doi.org/10.1016/j.patrec.2008.01.013
  11. Toreyin BU, Dedeoglu Y, Cetin AE. Contour based smoke detection in video using wavelets. Eur Sig Pr Conf: 123-128. Florence; Sept. 2006.
  12. Dedeoglu Y, Toreyin BU, Gudukbay U, Cetin AE. Real-time fire and flame detection in video. Int'l Conf. Acoust Spee: 669-672. Philadelphia; May. 2005.
  13. Chiu CW, Lu T, Chao HT, Shu CM. Performance assessment of video-based fire detection system in tunnel environment. Tumm Undergr Sp Tech 2014;40:16-21. https://doi.org/10.1016/j.tust.2013.09.001
  14. Verstockt S, Van Hoecke S, Beji T, Merci B, Gouverneur B, Cetin AE, et al. A multi-modal video analysis approach for car park fire detection. Fire Safety J 2013;57:44-57. https://doi.org/10.1016/j.firesaf.2012.07.005
  15. Arrue BC, Olero A, Martinez de Dios JR. An intelligent system for false alarm reduction in infrared forest-fire detection. IEEE Intell Syst App 2000;15:64-73.
  16. Kim TY, Choi M, Lee HS. P-value and reduction to absurdity. QBS 2017;36:1-6.
  17. Jhong JH, Lee JJ, Kim SH, Koo JY. Joint modeling for mean vector and covariance estimation with $l_1$-Penalty. QBS 2017;36:33-38.