Research Article
Research on 24-Hour Dense Crowd Counting and Object Detection System Based on Multimodal Image Optimization Feature Fusion
Table 5
Comparison of the different state-of-the-art target detection methods in day and night.
| Methods | Type | Dataset | Day (AP) | Night (AP) | Day + night (AP) |
| DetNet [71] | RGBD | ShanghaiTechRGBD | 0.383 | — | — | RDNet [71] | RGBD | ShanghaiTechRGBD | 0.610 | — | — | CGD [71] | RGBD | ShanghaiTechRGBD | 0.727 | — | — | YOLO4-RGB [72] | RGBT | KAIST | 0.684 | 0.298 | 0.465 | YOLO4-T [72] | RGBT | KAIST | 0.641 | 0.617 | 0.625 | YOLO4-RGBT [72] | RGBT | KAIST | 0.648 | 0.609 | 0.618 | Ours | RGBD | ShanghaiTechRGBD | 0.825 | 0.806 | 0.816 | Ours | RGBT | KAIST | 0.726 | 0.715 | 0.721 |
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