Jing Zuo, Yulin Ba. Population-Depth Counting Algorithm Based on Multiscale Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241502
- Laser & Optoelectronics Progress
- Vol. 57, Issue 24, 241502 (2020)
Fig. 1. Crowding density map. (a) Original image; (b) geometric adaptive Gaussian kernel
Fig. 2. Diagram of overall structure
Fig. 3. Principle diagram of dilated convolution
Fig. 4. Structure of MSB
Fig. 5. Experimental results on ShanghaiTech dataset. (a) Original images; (b) ground-truth images; (c) estimated crowd density maps
Fig. 6. Effect of feature fusion on training error and test loss. (a) Test loss; (b) training error
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Table 1. Parameters of model
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Table 2. Comparison of counting results on ShanghaiTech dataset
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Table 3. Comparison of counting results on UCF_CC_50 dataset
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Table 4. Accuracy comparing on WorldExpo'10 dataset%
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Table 5. Comparison of model performance
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Table 6. Experimental results of transfer learning
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