Ship smoke detection method based on saliency and dense optical flow

Zilong Yang; Fuping Zhu; Jinwen Tian; Tian Tian

doi:10.3788/IRLA20200496

Infrared and Laser Engineering, Volume. 50, Issue 7, 20200496(2021)

Ship smoke detection method based on saliency and dense optical flow

Zilong Yang1... Fuping Zhu2, Jinwen Tian1 and Tian Tian1,* |Show fewer author(s)

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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Figures & Tables(6)

Fig. 1. Flow chart of smoke screen detection

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Fig. 2. Results of the saliency detection experiments

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Fig. 3. Results of the ablation experiments of the saliency detection and the optical flow method

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Fig. 4. Detection results of different smoke detection algorithms

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Table 1. Experimental comparison of image scaling
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Table 1. Experimental comparison of image scaling
Scale down Time/ms P_d
1 374.3 96.15%
1/4 47.7 94.74%
1/9 16.8 83.41%

Table 2. Quantitative comparison of various algorithms of smoke detection
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Table 2. Quantitative comparison of various algorithms of smoke detection
Method TFD GMM SILC Proposed
${P_d}$ 85.26% 90.84% 85.96% 94.74%
${P_f}$ 18.45% 13.09% 30.79% 8.47%

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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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