Paper
2 May 2024 Estimation of mitt movement trajectory in catcher framing from baseball video
Author Affiliations +
Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 1316420 (2024) https://doi.org/10.1117/12.3018717
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia
Abstract
Catcher framing technique in baseball has recently gained attention in game analysis. This technique involves a catcher adjusting their catching motion to increase the likelihood of an umpire calling a pitch a strike. Its success is typically evaluated based on the strike rate at the boundary of the strike zone, calculated from pitch trajectory data obtained through a tracking system. However, evaluating catcher framing in games without a tracking system is challenging, and alternative methods based on different types of information are needed. This research proposes a method to detect the catcher's mitt movement trajectory during catcher framing, which is considered useful information apart from pitch trajectory. The method applies object detection, pose estimation and deep learning to videos of baseball pitching scenes.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yamato Kanno, Chun Xie, Hidehiko Shishido, Yoshinari Kameda, and Itaru Kitahara "Estimation of mitt movement trajectory in catcher framing from baseball video", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 1316420 (2 May 2024); https://doi.org/10.1117/12.3018717
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KEYWORDS
Data modeling

Video

Object detection

Motion detection

Pose estimation

Education and training

Motion estimation

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