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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
11:30
Hokkaido Hokkaido Univ. A Note on Accurate Shoot Prediction Considering Players' Spatio-temporal Relations in Soccer Videos -- Introduction of Complete Bipartite Graph Based on Players' Team Information --
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the introduction of a complete bipartite graph based on the team information of players for improvin... [more] MMS2023-5 ME2023-25 AIT2023-5
pp.23-28
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
17:05
Online Online A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a prediction method of important scenes in baseball videos based on multimodal variational autoencod... [more] MMS2021-14 ME2021-14 AIT2021-14
pp.71-75
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
17:30
Online Online A Note on Position Estimation of Superimposing Information in Soccer Videos -- Decision of Object Placement Based on User's Gaze Position and Players' Positions --
Genki Suzuki, Sho Takahashi, Takahiro Ogawaa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for position estimation of superimposing information based on user's gaze position and play... [more] MMS2021-15 ME2021-15 AIT2021-15
pp.77-81
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-29
14:30
Online Online A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation
Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.)
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
15:25
Hokkaido Hokkaido Univ.
(Cancelled)
Presentation Region Calculation of Information Based on Gaze Tracking Data in Soccer Videos
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for calculation of the presentation region of information based on gaze tracking data in so... [more] MMS2020-18 HI2020-18 ME2020-46 AIT2020-18
pp.91-95
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
16:35
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Event Classification in Soccer Videos Using Bidirectional LSTM
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for event classification using Bidirectional LSTM (Bi-LSTM) in soccer videos. In soccer com... [more] MMS2020-48 HI2020-48 ME2020-76 AIT2020-48
pp.371-375
SIP, ME 2019-11-14
13:00
Kumamoto Sojo University, Main Campus A Study on Scene Matching for Different Pitching Styles
Ryohei Osawa (Waseda Univ.), Takaaki Ishikawa (GITI), Hiroshi Watanabe (Waseda Univ.)
In recent years, baseball video data has been used to analyze player motions. Since the video can be confirmed as many t... [more] ME2019-117
pp.13-14
ME 2019-02-09
13:30
Kanagawa Kanto Gakuin University Video classification using signals and semantic level metadata for ambiguous video search
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy, but the developed techno... [more] ME2019-11
pp.31-34
ME, SIP 2018-12-18
10:00
Tokyo The University of Electro-Communications A Study for Ball Tracking in Basketball Analysis using Multi-View Image Sequences
Shuji Tanikawa, Norio Tagawa (TMU)
In this study, we examine a tracking method of basketball players that can avoid occlusion using multi-view image sequen... [more] ME2018-112
pp.31-34
ME 2018-02-24
14:30
Kanagawa Kanto Gakuin Univ. A consideration of video search for ambiguous aim
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy along with the progress o... [more] ME2018-61
pp.65-68
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-15
11:15
Hokkaido Hokkaido Univ. A Note on Recurrent Neural Network-based Tactics Estimation in Soccer Videos
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method that estimates team tactics in soccer videos by a recurrent neural network.
In general, pl... [more]
MMS2018-9 HI2018-9 ME2018-9 AIT2018-9
pp.131-135
ME, SIP [detail] 2016-12-05
14:30
Tokyo Waseda Univ. Camera Pose Measurement using Straight Lines on Court for Recording Basketball Game
Yuto Idaka, Koya Yasuda, Yihsin Ho, Kan Okubo, Norio Tagawa (Tokyo Metropolitan Univ.)
In basketball analysis, a ball and players are often hidden by other players, which is called an occlusion, and such a c... [more] ME2016-128
pp.13-16
ME, SIP [detail] 2016-12-05
15:40
Tokyo Waseda Univ. Pose trend analysis in tennis video based on pose estimation
Ryunosuke Kurose (Keio Univ.), Masaki Hayashi (Recreation lab), Sourou Ishi (Matsudo Orthopaedic Hospital), Asato Okamura (Tsukuba Univ), Yoshimitu Aoki (Keio Univ)
Recently, demand for sports video analysis is increasing, for example, analysis of players and teams. In this paper, we ... [more] ME2016-130
pp.21-24
ME, IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN [detail] 2016-09-16
10:00
Aichi Aichi Prefectural University A Study for Ball Tracking in Basketball Analysis using Multi-View Image Sequences
Koya Yasuda, Yuto Idaka, Norio Tagawa, Yihsin HO, Kan Okubo (TMU)
In basketball video analysis, tracking of a ball is an important issue for individual and team technical improvement and... [more] ME2016-120
pp.37-40
ME 2015-12-10
14:20
Kanagawa Toin Univ. of Yokohama Basketball game analysis using multi-view images captured by portable video camera
Yuto Idaka, Kouya Yasuda, Yihsin Ho, Norio Tagawa (Tokyo Metro. Univ.)
In basketball analysis, resolution of the occlusion the ball and players is hidden to the other players is important. Th... [more] ME2015-120
pp.13-16
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
 Results 1 - 16 of 16  /   
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