TY - GEN
T1 - Single Image, Context Aware Action Estimation in Sports
AU - Lanius, Christian
AU - Kobayashi, Daisuke
AU - Ouchi, Kazushige
AU - Aoki, Yoshimitsu
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
KW - Context
KW - Deep-learning
KW - Sports action recognition
UR - http://www.scopus.com/inward/record.url?scp=85065923028&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065923028&partnerID=8YFLogxK
U2 - 10.1109/SITIS.2018.00107
DO - 10.1109/SITIS.2018.00107
M3 - Conference contribution
AN - SCOPUS:85065923028
T3 - Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
SP - 664
EP - 671
BT - Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
A2 - Chbeir, Richard
A2 - di Baja, Gabriella Sanniti
A2 - Gallo, Luigi
A2 - Yetongnon, Kokou
A2 - Dipanda, Albert
A2 - Castrillon-Santana, Modesto
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
Y2 - 26 November 2018 through 29 November 2018
ER -