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Hokkaido University Collection of Scholarly and Academic Papers >
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A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM
| Title: | A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM |
| Authors: | Suzuki, Genki Browse this author | | Takahashi, Sho Browse this author →KAKEN DB | | Ogawa, Takahiro Browse this author →KAKEN DB | | Haseyama, Miki Browse this author →KAKEN DB |
| Keywords: | Sports video analysis | | tactical analysis | | first-arrival region | | link analysis | | gaze tracking data | | long short-term memory |
| Issue Date: | 25-Aug-2020 |
| Publisher: | The Institute of Image Information and Television Engineers |
| Journal Title: | ITE Transactions on Media Technology and Applications |
| Volume: | 8 |
| Issue: | 3 |
| Start Page: | 151 |
| End Page: | 160 |
| Publisher DOI: | 10.3169/mta.8.151 |
| Abstract: | 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. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/79107 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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