Acta Optica Sinica, Volume. 42, Issue 9, 0911002(2022)

Thermal Imaging Detection Method of Leak Gas Clouds Based on Support Vector Machine

Jing Weng1, Pan Yuan1, Minghe Wang1, Li Li1、*, Weiqi Jin1,2, Wei Cao2, and Bingcai Sun3
Author Affiliations
  • 1MoE Key Lab of Photoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, China
  • 2Beijing Wisdom Sharing Technical Co., Ltd., Beijing 100125, China
  • 3CNPC Research Institute of Safety & Environment Technology, Beijing 102206, China;
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    Figures & Tables(9)
    Schematic diagram of SVM
    Wide band gas infrared imaging system
    Original images and difference images of different infrared video and their rendering pictures. (a)(e) ith frame; (b)(f) (i+5)th frame; (c)(g) difference images of ith frame and (i+5)th frame; (d)(h) color rendering of difference results on original image
    Samples of positive and negative datasets. (a)--(c) Positive sample images; (d)--(f) negative sample images, which are people, trees, and pumping units
    Optimization results for parameters C and γ by grid search method
    Detection results of test set. (a) Positive sample; (b) negative sample
    • Table 1. Test results of SIFT-SVM algorithm

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      Table 1. Test results of SIFT-SVM algorithm

      ParameterAccuracy /%Errorrate /%Precision /%Recall /%
      Value92.507.5091.0093.81
    • Table 2. Test results of HOG-SVM algorithm

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      Table 2. Test results of HOG-SVM algorithm

      ParameterAccuracy /%Errorrate /%Precision /%Recall /%
      Value82.5017.5086.0080.37
    • Table 3. Performance comparison of two algorithms

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      Table 3. Performance comparison of two algorithms

      AlgorithmSingle data size /kBIterationsTraining time /sNumber of support vectors
      SIFT-SVM2--61763.6165326
      HOG-SVM41--63824137.7023502
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    Jing Weng, Pan Yuan, Minghe Wang, Li Li, Weiqi Jin, Wei Cao, Bingcai Sun. Thermal Imaging Detection Method of Leak Gas Clouds Based on Support Vector Machine[J]. Acta Optica Sinica, 2022, 42(9): 0911002

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    Paper Information

    Category: Imaging Systems

    Received: Sep. 13, 2021

    Accepted: Nov. 15, 2021

    Published Online: May. 6, 2022

    The Author Email: Li Li (lili@bit.edu.cn)

    DOI:10.3788/AOS202242.0911002

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