| Paper Abstract and Keywords |
| Presentation |
2026-06-23 13:25
Tracklet-Level Player Identification in Single-View Volleyball Match Videos Akinori Tsuji (Seikei Univ.), Taiji Matsui (Waseda Univ.), Daigo Muramatsu (Seikei Univ.) SIP2026-32 BioX2026-32 IE2026-32 MI2026-32 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Recent years have seen an increasing importance of data utilization in sports competitions, and Data Volley, a software system for collecting and analyzing volleyball match data, is now widely used.
Consequently, automation of Data Volley recording is strongly desired. Such automation requires several fundamental technologies, including player tracking and action recognition.
As one of these core technologies, this study proposes a tracklet-based player identification method for volleyball match videos captured from a single viewpoint.
In this method, player tracklets are first obtained from the results of player tracking, and feature representations are extracted for each tracklet using a deep learning model provided by OpenGait. Based on these features, player classification is performed both within the same set and across different sets within a team.
Experimental results demonstrate that the proposed method achieves highly accurate player identification in real match environments. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Player Identification / Player Tracking / Tracklet / Image and Video Processing / Volleyball / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 126, no. 84, BioX2026-32, pp. 165-170, June 2026. |
| Paper # |
BioX2026-32 |
| Date of Issue |
2026-06-15 (SIP, BioX, IE, MI) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
SIP2026-32 BioX2026-32 IE2026-32 MI2026-32 |
| Conference Information |
| Committee |
ITE-IST ITE-ME IE BioX SIP MI |
| Conference Date |
2026-06-22 - 2026-06-23 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
BioX |
| Conference Code |
2026-06-IST-ME-IE-BioX-SIP-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Tracklet-Level Player Identification in Single-View Volleyball Match Videos |
| Sub Title (in English) |
|
| Keyword(1) |
Player Identification |
| Keyword(2) |
Player Tracking |
| Keyword(3) |
Tracklet |
| Keyword(4) |
Image and Video Processing |
| Keyword(5) |
Volleyball |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Akinori Tsuji |
| 1st Author's Affiliation |
Seikei University (Seikei Univ.) |
| 2nd Author's Name |
Taiji Matsui |
| 2nd Author's Affiliation |
Waseda University (Waseda Univ.) |
| 3rd Author's Name |
Daigo Muramatsu |
| 3rd Author's Affiliation |
Seikei University (Seikei Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-06-23 13:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
BioX |
| Paper # |
SIP2026-32, BioX2026-32, IE2026-32, MI2026-32 |
| Volume (vol) |
vol.126 |
| Number (no) |
no.83(SIP), no.84(BioX), no.85(IE), no.86(MI) |
| Page |
pp.165-170 |
| #Pages |
6 |
| Date of Issue |
2026-06-15 (SIP, BioX, IE, MI) |