Keqi Liu, Mianmian Dong, Hui Gao, Zhigang Lü, Baoyi Guo, Min Pang. Multi-Modal Pedestrian Detection Algorithm Based on Illumination Perception Weight Fusion[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1610008
- Laser & Optoelectronics Progress
- Vol. 60, Issue 16, 1610008 (2023)
Fig. 1. Structure of the proposed network
Fig. 2. Structure of ECA mechanism module
Fig. 3. Structure of IPWF module
Fig. 4. SKNet structure
Fig. 5. Visible and infrared image pair under shade trees. (a) Visible light image; (b) infrared image
Fig. 6. MR-FPPI curves of different fusion strategies
Fig. 7. MR-FPPI curves of different algorithms
Fig. 8. Pedestrian target detection results in day time scenes. (a) Original annotation; (b) test result
Fig. 9. Pedestrian target detection results in night time scenes. (a) Original annotation; (b) test result
Fig. 10. Pedestrian target detection results on LLVIP dataset. (a) Detection results of daytime condition; (b) detection results of night condition
Fig. 11. Pedestrian target detection results on M3FD dataset. (a) Detection results of daytime condition; (b) detection results of night condition
| ||||||||||||||||||||||||||||||||||||||
Table 1. Performance comparison of different fusion policies
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 2. Experimental results of loss function ablation
| |||||||||||||||||||||||||||||||||||||||||||
Table 3. Performance comparison of different algorithms
| ||||||||||||||||||||||||||||||||||||||||||||
Table 4. Performance comparison of different algorithms on LLVIP dataset and M3FD dataset
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20