Single Image, Context Aware Action Estimation in Sports

Christian Lanius, Daisuke Kobayashi, Kazushige Ouchi, Yoshimitsu Aoki

研究成果: Conference contribution

抄録

Sports video analysis enables professional teams to prepare and practice more efficiently than ever before. It allows the team to work on their weak points and analyze upcoming opponents' strategies. As segmentation is a well researched topic, we assume a sports video where each frame is segmented into actors. We show that the location of the actors is correlated to their action. We develop a model to predict each actor's action in a context consistent and location aware manner. The set of context actors is an unordered set, thus we propose a permutation invariant structure for our classifier. We evaluate a location and a context aware network for single image sports action recognition on two datasets. One is an existing dataset of volleyball games. We present a new dataset for actor recognition in rugby. We compare the results to using only the image of the actor.

本文言語English
ホスト出版物のタイトルProceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
編集者Richard Chbeir, Gabriella Sanniti di Baja, Luigi Gallo, Kokou Yetongnon, Albert Dipanda, Modesto Castrillon-Santana
出版社Institute of Electrical and Electronics Engineers Inc.
ページ664-671
ページ数8
ISBN(電子版)9781538693858
DOI
出版ステータスPublished - 2018 7月 2
イベント14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018 - Las Palmas de Gran Canaria, Spain
継続期間: 2018 11月 262018 11月 29

出版物シリーズ

名前Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018

Conference

Conference14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
国/地域Spain
CityLas Palmas de Gran Canaria
Period18/11/2618/11/29

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識

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