Research Article
Crowd Counting and Abnormal Behavior Detection via Multiscale GAN Network Combined with Deep Optical Flow
Table 2
Quantitative result for different benchmark datasets.
| Models | Part_A | Part_B | UCF_CC_50 | MAE | MSE | MAE | MSE | MAE | MSE |
| TEDNet | 64.85 | 109.25 | 88.25 | 12.85 | 249.25 | 354.62 | PACNN | 66.18 | 106.24 | 21.552 | 3.56 | 267.9 | 357.06 | SANet | 66.39 | 104.51 | 8.54 | 13.65 | 258.44 | 334.86 | CSRNet | 68.27 | 115.27 | 21.62 | 33.52 | 266.15 | 397.17 | ACSCP | 76.58 | 102.75 | 17.55 | 27.58 | 292.08 | 404.87 | S_CNN | 90.2 | 135.22 | 8.922 | 135.18 | 318.27 | 439.57 | MCNN | 110 | 173.25 | 8.28 | 12.84 | 377.78 | 509.21 | Proposed | 63.4 | 106.23 | 8.21 | 12.66 | 266.71 | 310.65 |
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