Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP |
2024-03-21 15:20 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba |
A Study on Fast Extraction Method of All Pitches from Baseball Game Video Shohei Adachi, Hiroto Fukuta, Hiroshi Watanabe (Waseda Univ.) |
In TV sports and news programs, there is a demand for extracting and broadcasting all pitching scene as a highlight afte... [more] |
SIP2024-6 pp.16-19 |
HI |
2024-03-19 13:10 |
Online |
|
A Study on Image Selection for Graduation Albums Based on a Large-scale Pre-trained Model and Face Detection Hiraku Matsuda, Yuta Muraki (OIT), Kazuyuki Fukuda, Kentaro Wada (DAICOLO CO.,LTD.), Mutsuo Sano (OIT) |
When creating a graduation album, there is the task of selecting images to be placed in the layout from among many image... [more] |
HI2024-21 pp.35-38 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 10:55 |
Tokyo |
Tokyo University of Technology |
Proposal of Handwriting Input Device Based on Hand-held Object Detection and Position-Pose Estimation Using an RGB-D Camera Chishun Kanayama (Nanzan Univ.) |
We propose a method to use a hand-held object as a handwriting input device by detecting objects using an RGB-D camera a... [more] |
AIT2024-58 pp.91-92 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 15:28 |
Tokyo |
Tokyo University of Technology |
* Haru Shindo (Chiba Univ.), Takuya Funatomi (NAIST), Akinobu Maejima (OLM/IMAGICA), Yasuhiro Mukaigawa (NAIST), Hiroyuki Kubo (Chiba Univ.) |
In recent years, there has been a growing demand for real-time pose estimation in environments with intense disturbance ... [more] |
AIT2024-116 pp.292-293 |
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19 13:45 |
Hokkaido |
Hokkaido Univ. |
Efficient Human Pose and Shape Estimation using Decomposed Manhattan Self-Attention Yushan Wang, Botao Zhang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
HMR2.0, a high performance human pose and shape estimation algorithm, leverages ViT as its backbone and uses pretrained ... [more] |
MMS2024-9 ME2024-25 AIT2024-9 pp.44-48 |
AIT, IIEEJ, AS, CG-ARTS |
2023-03-06 16:03 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Primary: On-site, Secondary: Online) |
Motion reconstruction of articulated objects from point clouds with a sample video and a specified rotation axis Sakura Shinji, Issei Fujishiro (Keio Univ.) |
Simulated experience and reliving of real-life scenes are good examples of the use of three-dimensional virtual space. I... [more] |
AIT2023-71 pp.135-138 |
AIT, IIEEJ, AS, CG-ARTS |
2023-03-06 12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Primary: On-site, Secondary: Online) |
A Study on Auscultation Learning Systems Based on Marker-less AR Display of Organs on the Human Body Using Pose Estimation Yu Ichimura, Kazufumi Matsumoto, Junichi Sugita (Tokyo Healthcare Univ.) |
Auscultation is one of the basic techniques in physical assessment to determine a patient's condition by listening to so... [more] |
AIT2023-118 pp.293-295 |
HI |
2021-03-05 14:30 |
Online |
|
[Short Paper]
3D Human Body Pose Estimation Using Graph Convolutional Networks Shoji Kisita, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Shiga Univ.), Yutaro Iwamoto, Yen-Wei Chen (Ritsumeikan Univ.) |
3D pose recognition can apply for many fields, such as touchless operation in the medical field and the entertainment fi... [more] |
HI2021-8 pp.27-28 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19 15:20 |
Online |
Online |
[Special Talk]
A Note on Customer's Interest Estimation Method Using Security Camera Video Data from the Real Store
-- Validation of the accuracy of an anomaly detection model using features obtained from a posture estimation model -- Yuki Honma, Ren Togo, Maiku Abe, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a method for estimating customers’ interests using videos recorded by a security camera in a r... [more] |
MMS2021-26 ME2021-26 AIT2021-26 pp.193-198 |
ME, SIP |
2020-12-16 14:10 |
Online |
Online |
Infrastructure Required for Improving the Utilization of Human Pose Estimation in Sports Area Koji Nakagawa, Chikara Miyaji (Teikyo Univ.) |
Human pose estimation systems, which realize marker-less motion capture, started to be utilized in sports area. These sy... [more] |
ME2020-104 pp.9-12 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 17:05 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Data Augmentation Method of 3D Pose Estimation for Illustration of Anime Character Nozomi Isami, Yuji Sakamoto (Hokkaido Univ.) |
Research on 3D pose estimation from photographs of real human using machine learning have already been proposed. However... [more] |
MMS2020-24 HI2020-24 ME2020-52 AIT2020-24 pp.123-128 |
SIP, ME |
2019-11-14 13:25 |
Kumamoto |
Sojo University, Main Campus |
A Proposal of MLOps for Motion Capture Systems Satisfying Sports Demands by Using Human Pose Estimation Koji Nakagawa, Chikara Miyaji (Teikyo Univ.) |
In the sports research, motion capture systems are used widely and effectively. Recently the deep learning progress for ... [more] |
ME2019-118 pp.15-18 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20 15:30 |
Hokkaido |
Hokkaido Univ. |
A note on interest level estimation for videos using users' behavior based on OpenPose Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a novel method for interest level estimation using OpenPose which can obtain users' body skeleton po... [more] |
MMS2019-44 HI2019-44 ME2019-66 AIT2019-44 pp.351-354 |
AIT, IIEEJ, AS, CG-ARTS |
2018-03-16 12:30 |
Tokyo |
Tokyo University of Technology |
3D Camera Pose Estimation from corresponding segments Zhengnan Yu, Hiroki Takahashi (UEC) |
In this paper, we propose a novel approach of feature matching which uses line segments as feature in an input image ins... [more] |
AIT2018-57 pp.53-56 |
AIT, IIEEJ, AS, CG-ARTS |
2018-03-16 14:15 |
Tokyo |
Tokyo University of Technology |
A Self-Learning Support System for Drawing Actual Human Body Model by Pose Estimation Hiroto Nishizawa, Masahiro Ura, Kazunori Miyata (JAIST) |
This research proposes a learning support system for drawing on actual human body model. For beginners at drawing pictur... [more] |
AIT2018-66 pp.87-90 |
SIP (2nd) |
2017-06-23 16:10 |
Kanagawa |
Keio Univ. |
Texting while walking recognition using angle information of elbow and shoulder obtained by pose estimation Kimimaru Kato, Hiroshi Watanabe (Waseda Univ.) |
In recent years, texting while walking has become a problem. We have proposed a texting while walking recognition method... [more] |
|
BCT, IEEE-BT |
2017-03-10 15:55 |
Nagasaki |
Fukue-Bunka-kaikan |
Carrier Superposed Transmission for Satellite Communications
-- For development of LDM -- Minoru Okada (NAIST) |
In digital terrestrial television broadcasting, LDM (Layered Division Multiplex) has been studied for layered transmissi... [more] |
BCT2017-47 pp.33-36 |
SIP (2nd) |
2017-02-27 14:25 |
Aichi |
Chukyo Univ. Nagoya Campus |
Soccer Player Pose Estimation using Binary Mask Houari Sabirin, Hiroshi Sankoh, Naito Sei (KDDI Research) |
Most of pose estimation methods utilize spatio-temporal and texture information to produce approximation of human body s... [more] |
|
SIP (2nd) |
2017-02-27 15:15 |
Aichi |
Chukyo Univ. Nagoya Campus |
Study on Head Detection and Pose Estimation for Football Videos Shinsuke Yokozawa, Masaki Takahashi, Hideki Mitsumine (NHK) |
We are studying on obtaining automatically metadata of player’s head pose from football videos. The head detection and h... [more] |
|
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 |