Journal of the Japan society of photogrammetry and remote sensing
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
Original Papers
Research for Performance Analysis of Athletes Using Deep Learning for Marathon Broadcasting
Tatsuma IWAMOTOYuhei YAMAMOTOTakeshi NARUOShigenori TANAKAYasuto MORITaisei AOKI
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JOURNAL FREE ACCESS

2024 Volume 63 Issue 4 Pages 143-155

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Abstract

In Japan, new information provision for the enjoyment of sports spectating has been considered for the Tokyo Olympics. In particular, in the popular marathon race, RFID tags are attached to athletes and receivers are installed at specific points to measure their passing times, and this information is used in marathon broadcasts to provide viewers with lap times and predicted finishing times, in addition to commentary on the race development. However, because it is difficult to measure performance information such as the speed, pitch, and stride of each athlete, this information has not yet been provided. Therefore, this research aims to develop a technology to detect and track athletes using deep learning from video images and estimate their speed, pitch, and stride.

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© 2024 Japan Society of Photogrammetry and Remote Sensing
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