Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

6-2024

Abstract

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.

Keywords

Swimming movement monitoring, UAV, Pose detection, Computer vision, Tracking systems

Discipline

Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering

Publication

Proceedings of the 10th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications in the 22nd Annual International Conference on Mobile Systems, Applications and Services (MOBISYS 2024), Tokyo, Japan, Jun 3-7

First Page

7

Last Page

12

Identifier

10.1145/3661810.36634

Publisher

Association for Computing Machinery

City or Country

New York, NY USA

Additional URL

https://doi.org/10.1145/3661810.36634

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