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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP 2024-03-21
14:05
Ibaraki Center for Computational Sciences, University of Tsukuba Space estimation for soccer match videos using automatic player tracking with machine learning
Ryo Yoshimura, Masataka Imura (Kwansei Gakuin Univ.)
This research proposes a method to quantitatively estimate space in soccer tactical analysis based on player and ball po... [more] SIP2024-3
pp.4-7
SIP, ME 2017-11-26
15:30
Kagoshima NIFS A Study on Detection of Similar Scenes based on Player Positions in Soccer Videos
Sho Takahashi, Miki Haseyama (Hokkaido Univ.)
This paper proposes a method for detecting similar scenes in soccer videos. In soccer games, the pass and players' forma... [more] ME2017-114
pp.5-8
ME, SIP [detail] 2016-12-05
14:00
Tokyo Waseda Univ. A Study on Detection of Similar Scenes based on Pass Regions in Soccer Videos
Sho Takahashi, Miki Haseyama (Hokkaido Univ.)
This paper proposes a pass region-based method for detecting similar scenes in soccer videos. In the soccer games, since... [more] ME2016-127
pp.9-12
ME 2015-12-10
13:30
Kanagawa Toin Univ. of Yokohama A Study on High Performance Parallel Computing for Active Net-based Pass Region Estimation in Soccer Videos
Sho Takahashi, Miki Haseyama (Hokkaido Univ.)
This paper proposes a high performance parallel computing for Active net-based pass region estimation in soccer videos. ... [more] ME2015-118
pp.1-6
ME 2015-12-10
13:55
Kanagawa Toin Univ. of Yokohama A Note on Estimation of Group Advantage for Group Tactics Analysis in Soccer Videos
Sho Takahashi, Miki Haseyama (Hokkaido Univ.)
This paper reports a effectiveness of the estimation method of group advantage in soccer videos. The group advantage rep... [more] ME2015-119
pp.7-12
ME 2014-12-12
13:00
Tokyo Waseda Univ. A Note on Network Analysis Based Detection of Important Player and Similar Scenes in Soccer Videos
Sho Takahashi, Miki Haseyama (Hokkaido Univ.)
This paper proposes a link analysis-based method for detecting important players and similar scenes in soccer videos. We... [more] ME2014-104
pp.1-4
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2014-02-18
09:35
Hokkaido Hokkaido Univ. Definition of soccer player's features using network analysis and its application to similarity calculation between players
Kazuya Iwai, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for defining soccer player's features using network analysis and calculating similarity bet... [more] HI2014-22 ME2014-22 AIT2014-22
pp.319-324
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2013-02-19
14:00
Hokkaido Hokkaido Univ. A Note on Accurate Soccer Video Segmentation Based on the Team Possessing the Ball
Shuhei Ohnuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a method for accurate soccer video segmentation based on the team possessing the ball. Our pre... [more] HI2013-23 ME2013-51 AIT2013-23
pp.147-151
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2013-02-19
14:20
Hokkaido Hokkaido Univ. A Study on an Accurate Method for Estimating Pass Region from Soccer Video -- Definition of a New Evaluation Function Based on Changes in Player Position Geometry over Time --
Sho Takahashi, Miki Haseyama (Hokkaido Univ.)
In soccer match, the pass is one of the most fundamental tactics. Therefore, by using a player position geometry in a ta... [more] HI2013-24 ME2013-52 AIT2013-24
pp.153-158
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2011-02-21
- 2011-02-22
Hokkaido Hokkaido University A Study on Accurate Pass Region Estimation in Soccer Videos -- Introduction of Adaptive Parameter Settings --
Sho Takahashi, Miki Haseyama (Hokkaido Univ.)
In this paper, an accurate method of pass region estimation method is proposed by introduceing an adaptive parameter set... [more]
 Results 1 - 10 of 10  /   
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