A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM

Suzuki, Genki; Takahashi, Sho; Ogawa, Takahiro; Haseyama, Miki

A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM

Suzuki, Genki; Takahashi, Sho; Ogawa, Takahiro et al.

ITE Transactions on Media Technology and Applications, 2020, 8(3), 151-160

Permalink : https://hdl.handle.net/2115/79107

このアイテムのアクセス数:620件（2026-08-14 01:32 集計）

閲覧可能ファイル

ファイル	フォーマット	サイズ	閲覧回数	説明
https://doi.org/10.3169/mta.8.151			10

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

アクセス権	open access
URI	https://hdl.handle.net/2115/79107
タイトル	A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM
著者	Suzuki, Genki ; Takahashi, Sho ; Ogawa, Takahiro ; Haseyama, Miki
著者名 Suzuki, Genki
e-Rad_Researcher 00708018 著者名 Takahashi, Sho
e-Rad_Researcher 20524028 著者名 Ogawa, Takahiro
e-Rad_Researcher 00218463 著者名 Haseyama, Miki
言語	英語
キーワード	Sports video analysis
	tactical analysis
	first-arrival region
	link analysis
	gaze tracking data
	long short-term memory
発行日	2020-08-25
出版者	The Institute of Image Information and Television Engineers
収録物名	ITE Transactions on Media Technology and Applications
巻(号)	8(3)
ページ	151-160
抄録	A novel method for player importance prediction from a player network using gaze positions estimated by Long Short-Term Memory (LSTM) in soccer videos is presented in this paper. By newly using an estimation model of gaze positions trained by gaze tracking data of experienced persons, it is expected that the importance of each player can be predicted. First, we generate a player network by utilizing the estimated gaze positions and first-arrival regions representing players' connections, e.g., passes between players. The gaze positions are estimated by LSTM that is newly trained from the gaze tracking data of experienced persons. Second, the proposed method predicts the importance of each player by applying the Hypertext Induced Topic Selection (HITS) algorithm to the constructed network. Consequently, prediction of the importance of each player based on soccer tactic knowledge of experienced persons can be realized without constantly obtaining gaze tracking data.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
PISSN	2186-7364
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.3169/mta.8.151