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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CS, CQ (Joint) |
2023-05-19 14:00 |
Kagawa | Rexxam Hall (Kagawa Kenmin Hall) (Primary: On-site, Secondary: Online) |
Evaluation of Image Quality and Viewing Environment in a Surveillance System Using an Omnidirectional Camera Yuki Norimatsu (Tokyo Metropolitan Univ.), Ryoto Kato (Technical Univ. of Munich), Takashi Nishitsuji (Toho Univ.), Takuya Asaka (Tokyo Metropolitan Univ.)  CQ2023-6 |
The effectiveness of our omnidirectional surveillance camera system w.r.t different configurations and UIs was evaluated... [more] | CQ2023-6 pp.20-25 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 10:45 |
Hokkaido | Hokkaido Univ. | A Study of Estimating 3D Skeleton of a Human Full-Body Using Images Acquired by Omnidirectional Cameras Attached to the Human Body and Deep Learning Yuta Arai, Jun Ohya (Waseda Univ.), Hiroyuki Ogata (Seikei Univ.), Seo Chanjin (Waseda Univ.) ITS2022-62 IE2022-79 |
In recent years, motion capture has been used for training in various sporting events. However, in sporting events invol... [more] | ITS2022-62 IE2022-79 pp.112-117 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:25 |
Online | Online (Zoom) | Depth Estimation Based on a Catadioptric System with an Omnidirectional Camera and a Spherical Mirror Yuya Hiruta, Hidehiko Shishido, Itaru Kitahara (Univ. of Tsukuba) IMQ2021-19 IE2021-81 MVE2021-48 |
Since 3D information is useful for spatial recognition, the technologies for acquiring and presenting 3D information are... [more] | IMQ2021-19 IE2021-81 MVE2021-48 pp.49-54 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 14:40 |
Online | Online | A Study on Object Detection in Omnidirectional Images Using Deep Learning Yasuyuki Ishida, Toshio Ito (SIT) ITS2021-57 IE2021-66 |
A minimum sensor configuration is desired for a popular automatic vehicle. In this study, an omnidirectional camera with... [more] | ITS2021-57 IE2021-66 pp.190-195 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Wearable MoCap System for User's Lifelog with the Surrounding Image Teppei Miura, Shinji Sako (NIT) |
We propose a wearable motion capture system to collect user’s lifelog with the surrounding image. We develop the prototy... [more] | |
| 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 |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Xth Person View: a Video Browsing Method for Diversely Observing Naoki Shimura, Hidehiko Shishido, Yoshinari Kameda, Kenji Suzuki, Itaru Kitahara (Univ. of Tsukuba) |
This paper proposes “Xth Person View Video” that enables observation from diverse people and objects using multiple-view... [more] | |
| PRMU, CNR | 2015-02-19 16:20 |
Miyagi | [Poster Presentation]
Estimate of Viewpoint Positions in Environment Using Eye Tracker and Omnidirectional Camera Shun Chiba, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) PRMU2014-134 CNR2014-49 |
In this work, we propose a method for estimating the user’s viewpoint position in the environment using images taken by ... [more] | PRMU2014-134 CNR2014-49 pp.101-102 |
|
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-20 11:40 |
Osaka | Aerial HDR Imaging of Full Spherical Views without Missing Areas Using Two Omnidirectional Cameras Fumio Okura, Masayuki Kanbara, Naokazu Yokoya (NAIST) PRMU2011-171 MVE2011-80 |
This paper describes a method for acquiring spherical images without missing areas using two omnidirectional cameras mou... [more] | PRMU2011-171 MVE2011-80 pp.245-250 |
|
| NC | 2011-10-20 15:30 |
Fukuoka | Ohashi Campus, Kyushu Univ. | Intuitive interface for electric omnidirectional wheelchair Hirokazu Minomo, Hiroyuki Miyamoto (KIT) NC2011-68 |
In order for a user to be able to perform efficient operation, sensuous training is required for the interface of the el... [more] | NC2011-68 pp.137-142 |
| PRMU | 2011-02-18 11:00 |
Saitama | An Estimation Method of Position from an Omnidirectional Image for a Two-leg Walking Robot Toshihiko Kanbara, Yuuichirou Numasawa, Hidehiro Seki (Hachinohe Inst. Tech.) PRMU2010-224 |
In the intelligent robotics field, many estimation methods of robot position and orientation have been proposed from ima... [more] | PRMU2010-224 pp.105-110 |
|
| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 15:20 |
Shiga | Image-based Indoor localization of Visitors using Time Variation
-- for Applying to Museums -- Hisato Kawaji, Soichiro Kawamura, Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) PRMU2010-185 MVE2010-110 |
In this paper, we proposed an estimation approach of visitors’ routes in a museum. Our approach is based on the image ma... [more] | PRMU2010-185 MVE2010-110 pp.291-296 |
|
| MVE, ITE-HI | 2010-06-30 13:15 |
Tokyo | Sanjo Conference Hall | A Remote Collaboration System by Using Live Video Projection of a Wearable Camera onto Omnidirectional Range Data Shigeki Morishima, Tomohiro Mashita, Kiyoshi Kiyokawa, Haruo Takemura (Osaka Univ.) MVE2010-46 |
We have previously proposed a remote collaboration system that supports an asymmetric interaction between an instructor ... [more] | MVE2010-46 pp.131-136 |
| MVE | 2010-03-12 17:30 |
Kanagawa | Toshiba Science Museum | Vision-based Indoor Localization using Omnidirectional Panorama Images Koki Hatada, Hisato Kawaji, Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) MVE2009-141 |
It is not easy to estimate the position of the users in indoor environments from the view points of facility costs and u... [more] | MVE2009-141 pp.57-61 |
| LOIS, IPSJ-DC, IPSJ-FI (Joint) |
2010-03-04 16:35 |
Okinawa | Okinawaken-Seinen-Kaikan | Path Estimation from Sequential Omnidirectional Images Satoshi Hisanaga (Mitsubishi Electric Corp.), Koji Okamura (Kyushu Univ.) LOIS2009-84 |
Recently, Lifelog analyzation has been studied. In it, a set of landscape images taken by a person with cameras is used ... [more] | LOIS2009-84 pp.31-36 |
| MVE | 2009-10-08 13:50 |
Hokkaido | Eco Center 2000 | Removal of Moving Objects and Consistency of Color for Constructing an Omnidirectional Image Database Hideyuki Takahashi, Maiya Hori, Masayuki Kanbara, Naokazu Yokoya (NAIST) MVE2009-40 |
This paper proposes a method for removing an inconsistency of images by moving objects, shadows and color tone among ima... [more] | MVE2009-40 pp.35-40 |
| PRMU | 2008-10-24 14:20 |
Tokushima | Tokushima Univ. | A Method for Protection People from Traffic Accidents Hiroyuki Kishioka, Junichiro Hayashi, Seiji Hata (Kagawa Univ.) PRMU2008-104 |
Traffic accidents are increasing in step with the aging of the population. Cognitive ability is impaired by aging and im... [more] | PRMU2008-104 pp.91-96 |
| MVE | 2008-03-23 09:45 |
Fukuoka | Industry & Academia Cooperation Ctr, Kitakyushu Sci & Research Pk | A Propose of Tubular User Interface by Finger-Motion Detection using an Omni-Directional Sensor Yutaka Hayashi, Tomohiro Mashita (Osaka Uni.), Takefumi Ogawa (Tokyo Uni.), Kiyoshi Kiyokawa, Haruo Takemura (Osaka Uni.) MVE2007-88 |
Recently, there have been many user interfaces proposed that use an optical device such as a camera to detect a user's b... [more] | MVE2007-88 pp.43-48 |
| IE, ITE-BCT, ITE-ME, ITE-AIT | 2007-11-29 16:30 |
Saga | Saga University | A Person Tracking Using Omnidirectional Camera Eiichirou Kon, Makoto Kosugi, Nobuhiko Mukai (Musashi-tech) IE2007-98 |
A method of tracking a person in an image by a omnidirectional sensor, which is based on the polar coordinate system, is... [more] | IE2007-98 pp.47-52 |
| MVE | 2007-03-23 13:50 |
Aichi | Chukyo Univ. (Nagoya Campus) | An Omnidirectional 2D-3D Visualization Technique for Mobile Robot Control Kensaku Saitoh, Kiyoshi Kiyokawa, Haruo Takemura (Osaka Univ.) |
We propose a novel visualization technique for mobile robot control which integrates 2D images and 3D range data acquire... [more] | MVE2006-80 pp.13-18 |
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