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Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics
This item is licensed under:Creative Commons Attribution 4.0 International
| Title: | Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics |
| 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 | | Estimation | | Videos | | Games | | Feature extraction | | Training | | Semantics | | Sports video analysis | | tactics estimation | | deep learning | | semantic analysis |
| Issue Date: | 9-Oct-2019 |
| Publisher: | IEEE | | Institute of Electrical and Electronics Engineers |
| Journal Title: | IEEE Access |
| Volume: | 7 |
| Start Page: | 153238 |
| End Page: | 153248 |
| Publisher DOI: | 10.1109/ACCESS.2019.2946378 |
| Abstract: | A novel method for estimating team tactics in soccer videos based on a Deep Extreme Learning Machine (DELM) and unique characteristics of tactics is presented in this paper. The proposed method estimates the tactics of each team from players formations and enables successful training from a limited amount of training data. Specifically, the estimation of tactics consists of two stages. First, by utilizing two DELMs corresponding to the two teams, the proposed method estimates the provisional tactics of each team. Second, the proposed method updates the team tactics based on unique characteristics of soccer tactics, the relationship between tactics of the two teams and information on ball possession. Consequently, since the proposed method estimates the team tactics that satisfy these characteristics, accurate estimation results can be obtained. In an experiment, the proposed method is applied to actual soccer videos to verify its effectiveness. |
| Rights: | http://creativecommons.org/licenses/by/4.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/76376 |
| 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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