用无人机航拍视频精准追踪泳者动作，误差小于0.3秒
Analyzing Swimming Performance Using Drone Captured Aerial Videos
- 无人机高空拍摄+计算机视觉算法追踪泳者
- 可测泳姿角度、划水时长与速度，误差≤0.35米/秒
- 适合游泳训练分析与竞技赛事技术评估
监测游泳表现对提升训练效果和优化技术至关重要。传统方法如水面或水下摄像机因需多摄像头且易受水花遮挡而受限。本文提出一种基于移动无人机的新型追踪方法：使用配备高分辨率相机的无人机获取泳池上空影像，再通过计算机视觉算法提取泳者位置与运动数据。该方案仅需单摄像头即可实现全面覆盖。系统在训练与比赛视频上验证，结果显示其能准确追踪泳者动作、肢体角度、划水周期与速度，最大误差分别为0.3秒（划水时长）和0.35米/秒（速度）。
原文摘要 · Abstract (English)
Monitoring swimmer performance is crucial for improving training and enhancing athletic techniques. Traditional methods for tracking swimmers, such as above-water and underwater cameras, face limitations due to the need for multiple cameras and obstructions from water splashes. This paper presents a novel approach for tracking swimmers using a moving UAV. The proposed system employs a UAV equipped with a high-resolution camera to capture aerial footage of the swimmers. The footage is then processed using computer vision algorithms to extract the swimmers' positions and movements. This approach offers several advantages, including single camera use and comprehensive coverage. The system's accuracy is evaluated with both training and in competition videos. The results demonstrate the system's ability to accurately track swimmers' movements, limb angles, stroke duration and velocity with the maximum error of 0.3 seconds and 0.35~m/s for stroke duration and velocity, respectively.
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