Bin Zhao, Chunping Wang, Qiang Fu, Yichao Chen. Multi-Scale Infrared Pedestrian Detection Based on Deep Attention Mechanism[J]. Acta Optica Sinica, 2020, 40(5): 0504001
- Acta Optica Sinica
- Vol. 40, Issue 5, 0504001 (2020)
Fig. 1. Characteristic of pedestrian in U-FOV infrared images. (a) Large and medium scale pedestrians; (b) small scale pedestrians
Fig. 2. Architecture of multi-scale infrared pedestrian detection network based on Darknet53
Fig. 3. Architecture of attention module
Fig. 4. Residual module
Fig. 5. Principle of pedestrian detection
Fig. 6. Learning rate and loss curves. (a) Learning rate on Caltech dataset; (b) loss on Caltech dataset; (c) learning rate on U-FOV dataset; (d) loss on U-FOV dataset
Fig. 7. Salient coefficient and feature maps
Fig. 8. Distribution of pedestrian size in U-FOV test set
Fig. 9. Visualization results of infrared pedestrian detection
Fig. 10. P-R curves under different IoU thresholds. (a) IoU threshold is 0.3; (b) IoU threshold is 0.45; (c) IoU threshold is 0.5; (d) IoU threshold is 0.7
Fig. 11. Visualization results of infrared pedestrian detection on LTIR dataset at different scenes
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Table 1. Average precision of pedestrian detection under different IoU thresholds
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Table 2. Total times of U-FOV test set
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