Acta Optica Sinica, Volume. 38, Issue 7, 0710001(2018)

Early Fire Detection Algorithm Based on ViBe and Machine Learning

Jianjun Mei* and Wei Zhang
Author Affiliations
  • School of Microelectronics, Tianjin University, Tianjin 300072, China
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    References(14)

    [1] Zhao J H, Fang J, Shu X M. An identification method of fire smoke based on neural network[J]. Acta Optica Sinica, 23, 1086-1089(2003).

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    [8] Khatami A, Mirghasemi S, Khosravi A et al. A new PSO-based approach to fire flame detection using K-medoids clustering[J]. Expert Systems with Applications, 68, 69-80(2017).

    [9] Toulouse T, Rossi L, Celik T et al. Automatic fire pixel detection using image processing: a comparative analysis of rule-based and machine learning-based methods[J]. Signal, Image and Video Processing, 10, 647-654(2016).

    [10] Duan Z G, Li Y, Wang E D et al. Road and navigation line detection algorithm from shadow image based on the illumination invariant image[J]. Acta Optica Sinica, 36, 1215004(2016).

    [11] Zhang J H, Li T, Wang S A et al. Early small flame detection algorithm based on vision system with variant field of view[J]. Journal of Xi'an Jiaotong University, 46, 29-35(2012).

    [14] Wu X Y, Yan Y Y, Du J et al. Fire detection based on fusion of multiple features[J]. CAAI Transactions on Intelligent Systems, 10, 240-247(2015).

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    Jianjun Mei, Wei Zhang. Early Fire Detection Algorithm Based on ViBe and Machine Learning[J]. Acta Optica Sinica, 2018, 38(7): 0710001

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    Paper Information

    Category: Image Processing

    Received: Dec. 19, 2017

    Accepted: --

    Published Online: Sep. 5, 2018

    The Author Email: Mei Jianjun (tju_mei@163.com)

    DOI:10.3788/AOS201838.0710001

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