• Infrared and Laser Engineering
  • Vol. 50, Issue 7, 20200496 (2021)
Zilong Yang1, Fuping Zhu2, Jinwen Tian1, and Tian Tian1、*
Author Affiliations
  • 1National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2Beijing Electro-mechanical Engineering Institute, Beijing 100074, China
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    DOI: 10.3788/IRLA20200496 Cite this Article
    Zilong Yang, Fuping Zhu, Jinwen Tian, Tian Tian. Ship smoke detection method based on saliency and dense optical flow[J]. Infrared and Laser Engineering, 2021, 50(7): 20200496 Copy Citation Text show less
    Flow chart of smoke screen detection
    Fig. 1. Flow chart of smoke screen detection
    Results of the saliency detection experiments
    Fig. 2. Results of the saliency detection experiments
    Results of the ablation experiments of the saliency detection and the optical flow method
    Fig. 3. Results of the ablation experiments of the saliency detection and the optical flow method
    Detection results of different smoke detection algorithms
    Fig. 4. Detection results of different smoke detection algorithms
    Scale downTime/msPd
    1374.396.15%
    1/447.794.74%
    1/916.883.41%
    Table 1. Experimental comparison of image scaling
    MethodTFDGMMSILCProposed
    ${P_d}$85.26%90.84%85.96%94.74%
    ${P_f}$18.45%13.09%30.79%8.47%
    Table 2. Quantitative comparison of various algorithms of smoke detection
    Zilong Yang, Fuping Zhu, Jinwen Tian, Tian Tian. Ship smoke detection method based on saliency and dense optical flow[J]. Infrared and Laser Engineering, 2021, 50(7): 20200496
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