无人机行人检测与重识别模型

本算法实现了“地”到“空”的跨视角行人搜索，在给定目标行人图像的情况下，可以从多个搜索区域中精确定位并识别出目标行人。由于本算法实现了不同摄像头下的行人关联，因此在智能监控、刑事侦查等领域具有重要的应用价值。例如，给定嫌疑人图像，基于本算法对无人机监控视频中的行人进行重识别，从而可以快速搜寻目标嫌疑人的踪迹；通过行人轨迹分析，预测用户习惯，指导商业营销策略（商业街、景区等）的制定和调整。

This algorithm realizes ground-to-aerial cross-view pedestrian search. Given a target pedestrian image, it can accurately locate and identify the target pedestrian from multiple search regions. As the algorithm enables pedestrian association across different cameras, it possesses important application value in domains such as intelligent surveillance and criminal investigation. For example, when provided with a suspect's image, this algorithm can perform person re-identification on pedestrians in drone surveillance videos, allowing for rapid tracking of the target suspect's whereabouts. Moreover, through pedestrian trajectory analysis, it can predict user habits and guide the formulation and adjustment of commercial marketing strategies for scenarios including commercial streets and scenic spots.