Laser & Optoelectronics Progress, Volume. 57, Issue 24, 241502(2020)
Population-Depth Counting Algorithm Based on Multiscale Fusion
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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Jing Zuo, Yulin Ba. Population-Depth Counting Algorithm Based on Multiscale Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241502
Category: Machine Vision
Received: Apr. 20, 2020
Accepted: Jun. 1, 2020
Published Online: Nov. 18, 2020
The Author Email: Zuo Jing (1269132835@qq.com)