Journal of Applied Optics, Volume. 43, Issue 6, 1088(2022)
Night vision dense crowd counting based on mid-term fusion of thermal imaging features
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Fig. 3. Visualization of curve parameters in model training process
Fig. 4. Visualization results from ShanghaiTechPartA, ShanghaiTechPartB, UCF-QNRF and UCF_CC_50 datasets (from left to right: input images, real annotations, Bayesian results and results from proposed method)
Table 1. Parameter information for Rgb-T-CC dataset
View tableView in ArticleTable 1. Parameter information for Rgb-T-CC dataset
数据集 分辨率 数据类型 数量 最大 最小 平均 总计 模态 Rgb-T-CC 640×480 Rgb+T 4060 82 45 68 138,389 Rgb-T
Table 2. Comparison of different state-of-the-art methods on Rgb-T-CC dataset
View tableView in ArticleTable 2. Comparison of different state-of-the-art methods on Rgb-T-CC dataset
模型(Rgb-T-CC数据集) MAE MSE UCNet[ 18 ]33.96 56.31 HDFNet[ 19 ]22.36 33.93 BBSNet[ 20 ]19.56 32.48 MCNN[ 15 ]21.89 37.44 CSRNet[ 16 ]20.4 35.26 Bayesian Loss[ 17 ]18.7 32.67 MCNN+IADM[ 15 ]19.77 30.34 CSRNet+IADM[ 15 ]17.94 30.91 Bayesian Loss+IADM[ 15 ]15.61 28.18 本文Rgb-T-net 18.16 32.14
Table 3. Comparison of different fusion methods on Rgb-T-CC dataset
View tableView in ArticleTable 3. Comparison of different fusion methods on Rgb-T-CC dataset
融合方式(Rgb-T-CC数据集) MAE MSE AGK 22.46 38.97 AGK+Rgb-T-net(早期融合) 18.01 31.49 AGK+Rgb-T-net(中期融合) 18.16 32.14 AGK+Rgb-T-net(晚期融合) 19.35 34.71
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Guoyin REN, Xiaoqi LYU, Yuhao LI. Night vision dense crowd counting based on mid-term fusion of thermal imaging features[J]. Journal of Applied Optics, 2022, 43(6): 1088
Paper Information
Category: Research Articles
Received: Apr. 11, 2022
Accepted: --
Published Online: Nov. 18, 2022
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