Jianmin Zhao, Xuedong Li, Baoshan Li. Algorithm of Sheep Dense Counting Based on Unmanned Aerial Vehicle Images[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210013
- Laser & Optoelectronics Progress
- Vol. 58, Issue 22, 2210013 (2021)
Fig. 1. Flow chart of Bayesian Loss model
Fig. 2. Structural diagram of Bayesian Loss model
Fig. 3. Schematic diagram of Bayesian loss function
Fig. 4. Geometric diagram of virtual background point
Fig. 5. Generation of sheep density map. (a) Original drawing ; (b) sheep density map; (c) geometric adaptive Gaussian kernel
Fig. 6. Examples of dataset images. (a) Different illumination; (b) different backgrounds; (c) different number of sheep; (d) different distributions of sheep
Fig. 7. Counting result
Fig. 8. Effect of Gaussian kernel parameter on model. (a) Original image; (b) σ=8; (c) σ=16
Fig. 9. Training loss curves of different models. (a) MCNN; (b) CSRNet; (c) SFANet; (d) Bayesian Loss
Fig. 10. Visualization results of different models
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Table 1. Related information of USC sheep dataset
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Table 2. Comprehensive comparison of different models on sheep dataset
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