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Analyzing Swimming Performance Using Drone Captured Aerial Videos

Published: 04 June 2024 Publication History

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.

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Published In

cover image ACM Conferences
DroNet '24: Proceedings of the 10th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications
June 2024
57 pages
ISBN:9798400706561
DOI:10.1145/3661810
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

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Publication History

Published: 04 June 2024

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Author Tags

  1. UAV
  2. computer vision
  3. pose detection
  4. sport
  5. swimming

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MOBISYS '24
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Overall Acceptance Rate 29 of 50 submissions, 58%

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