To address the issue of low detection accuracy for small pedestrian targets, a pedestrian detection model tailored for complex scenes is proposed based on the DETR algorithm. In the feature extraction stage, the SENet attention mechanism is introduced to enhance channel discrimination ability. By combining image Relative Position Encoding (iRPE) with absolute position encoding, the model's perception of global context and local details is improved. After training on a self-built dataset, experimental results show that the pedestrian recognition accuracy of the proposed scheme reaches 97.2%, with false detection rate and missed detection rate of only 1.7% and 1.1%, respectively. It performs excellently in handling complex scenes such as multi-scale pedestrians, partial occlusion, and low visibility, and its detection performance is significantly better than traditional methods.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |