Mr. Yuya Moroto Profile

Yuya Moroto

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Proceedings Article | 2 May 2024 Paper

Masked modeling-based action event prediction considering bidirectional time-series in soccer

Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Huang-Chia Shih, Miki Haseyama

Proceedings Volume 13164, 1316434 (2024) https://doi.org/10.1117/12.3019688

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This paper presents an action event prediction based on masked modeling for bidirectional time-series analysis in soccer. Since optimal action events should be selected based on changes in match situations, it is important to consider bidirectional time-series changes in data. To predict the next action event with the consideration of the bidirectional time-series, the proposed method learns the contexts of action event sequences by predicting the masked action events from the preceding and following contexts. The prediction accuracy of our method is improved from that of the unidirectional method, which shows the effectiveness of taking the bidirectional time series into account in soccer.

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