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A Flame Detection Synthesis Algorithm

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An Erratum to this article was published on 01 June 2013

Abstract

A flame detection synthesis algorithm is presented in this paper. The temporal and spatial of flames, such as flame movement, color clues and flame area variation are incorporated into the scheme to detect fires in video frames. Firstly, Choquet fuzzy integral was adopted to integrate color features and texture feature for extracting dynamic regions from video frames. Secondly, mean filtering was used to smooth RGB value of the video frame pixels and detected dynamic regions were filtered by a flame color filtering algorithm to extract candidate flame regions. Finally, a flame area variation identification algorithm was used to distinguish true flames from candidate flame regions. Experiments show that the proposed method is effective, robust and remains with strong anti-jamming performance against brightness variation. The processing rate of the flame detection method achieves 24 frames per second with image size of 320 × 240 pixels.

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Acknowledgments

The support from the Major Research Plan of the National Natural Science Foundation of China under Grants No. 91024027 is acknowledged.

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Authors and Affiliations

  1. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, 230027, People’s Republic of China

    Shidong Wang & Jian Wang

  2. Information Network Center, Anhui University of Architecture, Hefei, 230022, People’s Republic of China

    Shidong Wang

  3. School of Engineering, University of Western Sydney, Penrith, NSW, Australia

    Yaping He

  4. School of Computing Engineering and Mathematics, University of Western Sydney, Penrith, NSW, Australia

    Jujia Zou

  5. Department of Mathematics and Physics, Hefei University, Hefei, 230001, People’s Republic of China

    Baobin Duan

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  1. Shidong Wang
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  2. Yaping He
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  3. Jujia Zou
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  4. Baobin Duan
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  5. Jian Wang
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Corresponding author

Correspondence to Jian Wang.

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Wang, S., He, Y., Zou, J. et al. A Flame Detection Synthesis Algorithm. Fire Technol 50, 959–975 (2014). https://doi.org/10.1007/s10694-012-0321-6

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