Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ET |
2021-12-11 11:10 |
Online |
Online |
Application and Improvement of VR Content Creation Support System in Classes Riku Koyama (TUS), Teruhiko Unoki (PHOTRON), Toru Kano, Takako Akakura (TUS) ET2021-32 |
One of the reasons why VR has not been widely used in the field of education is that handling VR requires specialized kn... [more] |
ET2021-32 pp.17-22 |
MI |
2021-08-27 14:10 |
Online |
Online |
A Study of a Pose Estimation Method of Ultrasound Probe Using RNN Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) MI2021-22 |
In this paper, we propose an ultrasound (US) probe pose estimation method using deep learning for 3D US image reconstruc... [more] |
MI2021-22 pp.2-7 |
PRMU |
2021-08-26 15:30 |
Online |
Online |
Pedestrian Position Estimation by Integrating AlphaPose Based Human Pose Estimation and PredRNN++ Based Spatiotemporal Series Prediction for Autonomous Driving Systems Zhaowei Zhang (Waseda U.), Eiji Fukuzawa (Waseda U./Yazaki Corp.), Jun Ohya (Waseda U.) PRMU2021-12 |
In recent years, with the development of automatic driving technology, more experimental automatic driving vehicles have... [more] |
PRMU2021-12 pp.30-35 |
WIT |
2021-06-01 16:25 |
Online |
Online |
Mobile MoCap System towards Sign Language Recognition
-- Improvement of 3D Pose Estimation using OpenPose -- Teppei Miura, Shinji Sako (NIT) WIT2021-11 |
Sign language is a interactive visual language used by deaf people. However, most hearing people do not learn the sign l... [more] |
WIT2021-11 pp.54-58 |
PRMU, IPSJ-CVIM |
2021-03-04 14:25 |
Online |
Online |
Leveraging Human Pose Estimation Model for Sports Video Classification Soichiro Sato, Masaki Aono (TUT) PRMU2020-76 |
In this paper, we propose a motion classification method of sports videos based on a posture estimation model.Specifical... [more] |
PRMU2020-76 pp.41-46 |
IE, ITS, ITE-MMS, ITE-ME, ITE-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] |
|
PRMU |
2020-12-17 10:30 |
Online |
Online |
Simultaneous learning of object foreground, pose and class using only class teacher Shunsuke Yoneda (Tottori Univ.), Go Irie (NTT), Masashi Nisiyama, Yoshio Iwai (Tottori Univ.) PRMU2020-40 |
(To be available after the conference date) [more] |
PRMU2020-40 pp.12-17 |
PRMU |
2020-12-17 10:45 |
Online |
Online |
Simultaneous pose-region estimation for people tracking Kazuhiko Watanabe, Toshikazu Wada (Wakayama Univ.) PRMU2020-41 |
Bottom-up pose estimation often make an incorrect connection between body parts in a crowded situation like group photo.... [more] |
PRMU2020-41 pp.18-23 |
PRMU |
2020-10-09 13:15 |
Online |
Online |
Video retrieval based on the similarity of human poses Noboru Yoshida, Yadong Pan, Ryo Kawai, Jianquan Liu, Shoji Nishimura (NEC) PRMU2020-24 |
In this paper, we propose new feature which can measure the distance between different poses. The feature is based on th... [more] |
PRMU2020-24 pp.32-37 |
WIT |
2020-09-08 14:20 |
Online |
Online |
3D Human Pose Estimation for Omnidirectional Camera
-- applying for sign-language recognition -- Teppei Miura, Shinji Sako (NIT) WIT2020-7 |
Sign-language is the natural interactive visual language used by deaf people. Most hearing people, however, do not know ... [more] |
WIT2020-7 pp.9-14 |
SC |
2020-05-29 13:30 |
Online |
Online |
Characterizing Quality of In-home Physical Activities Using Bone-based Human Sensing Sinan Chen, Sachio Saiki, Masahide Nakamura (Kobe Univ.) SC2020-1 |
In recent years, with the conversion to home care in the aging society, it is significant for extending healthy life spa... [more] |
SC2020-1 pp.1-6 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 15:15 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Motion Robust Remote Heart Rate Estimation based on RGB/NIR Imaging Under Varying Illumination Kosuke Kurihara (Tokyo Univ. of Science), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2019-24 IE2019-106 MVE2019-45 |
We propose a method for heart rate (HR) estimation that is robust to various illumination conditions and subject's head ... [more] |
IMQ2019-24 IE2019-106 MVE2019-45 pp.47-50 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 10:45 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Emotion estimation from pose image with body movement Tomoyuki Nagase, Kohei Kishida, Yuukou Horita (Univ. of Toyama) IMQ2019-32 IE2019-114 MVE2019-53 |
It is said that there is a deep relationship between human emotion and physical movement. However, it seems that there i... [more] |
IMQ2019-32 IE2019-114 MVE2019-53 pp.85-88 |
SIS |
2020-03-05 16:10 |
Saitama |
Saitama Hall (Cancelled but technical report was issued) |
3D pose estimation using OpenPose and depth data for endoscope operation analysis Yuki Abe, Katsuya Kondo, Kazu Mishiba (Tottori Univ. Eng.), Tomohiro Shimoda (MICOTO Tech.), Masashi Fujii, Kazutake Uehara (Tottori Univ. Hospital), Masaru Ueki (Tottori Univ. Med.) SIS2019-46 |
This report relates to a method for accurately extracting key points of 3dimensional(3D) posture of an operator when ana... [more] |
SIS2019-46 pp.51-56 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 17:05 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
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] |
|
NLP, NC (Joint) |
2020-01-23 17:50 |
Okinawa |
Miyakojima Marine Terminal |
Multi-animal pose estimation from videos towards analysis of natural interaction behavior Satoshi Murashige, Takatomi Kubo (NAIST), Miho Nagasawa, Takefumi Kikusui (Azabu Univ.), Kazushi Ikeda (NAIST) NC2019-58 |
The social behavior analysis of animals is performed in various research fields such as ethology, neuroscience, and phar... [more] |
NC2019-58 p.1 |
PRMU |
2019-12-19 13:45 |
Oita |
|
Personalized Face-pose Estimation Using Incrementally Updated Face-shape Parameters Makoto Sei (ATR/Ritsumeikan Univ.), Akira Utsumi (ATR), Hirotake Yamazoe, Joo-Ho Lee (Ritsumeikan Univ.) PRMU2019-51 |
This paper proposes a deep learning method for face pose estimation with an incremental personalization mechanism to upd... [more] |
PRMU2019-51 pp.29-34 |
PRMU |
2019-12-20 15:55 |
Oita |
|
Occlusion-Robust Pose-Feature Representation Learning for Object Pose Estimation from a Depth Image Hiroki Tatemichi, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Ayako Amma (Toyota) PRMU2019-62 |
In order for a robot to carry an object, it is necessary to estimate the pose of the object. However, when an object is ... [more] |
PRMU2019-62 pp.99-104 |
RISING (2nd) |
2019-11-26 10:30 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
Reconstruction of Occluded Human Skeleton Information Using Generative Adversarial Network Bochao Zhang, Takashi Nishitsuji, Takuya Asaka (Tokyo Metropolitan Univ.) |
Recently, the posture estimation technology using human skeleton data detected by deep learning has attracted attention.... [more] |
|
PRMU, BioX |
2019-03-18 10:45 |
Tokyo |
|
ADL Recognition based on Movement Trajectory of Hand and Object Recognition using Deep Learning for Self-Support Hiroki Kojima (OIT), Sho Ooi (Rits), Mutsuo Sano (OIT) BioX2018-51 PRMU2018-155 |
In our laboratory, we have been studying cognitive rehabilitation for patients with acquired brain injury and dementia b... [more] |
BioX2018-51 PRMU2018-155 pp.131-136 |