Research Article
A New Method of Pedestrian Abnormal Behavior Detection Based on Attention Guidance
Table 3
Comparative experiments of the attention-directed abnormal behavior detection model (AUC%).
| Method | Model | Ped1 | Ped2 | Avenue |
| — | Unmasking [28] | 68.4 | 82.2 | 80.6 | Level set method [29] | 79.3 | 89.8 | — | Two-stream R-ConvVAE [30] | 75.0 | 91.0 | 79.6 | Two stream with OFF [24] | — | — | 84.3 |
| Reconstruction | CAE [31] | 58.5 | 84.7 | 77.2 | AE_mem_recon [13] | 66.3 | 89.3 | 80.5 | Att_AE_recon | 67.6 | 90.7 | 82.7 |
| Prediction | SRNN [32] | — | 92.2 | 81.7 | GAN_pred [33] | 82.4 | 93.0 | 84.6 | AE_mem_pred [13] | 79.8 | 92.0 | 83.4 | ST-3DCAE [34] | 80.7 | 85.3 | 81.0 | sRNN-AE [35] | — | 92.2 | 83.5 | Two stream 3DAE [9] | 79.6 | 90.3 | 82.0 | Memory_att [17] | — | — | 85.7 | PST [36] | — | — | 86.7 | Att_AE_pred | 82.7 | 94.5 | 87.3 |
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