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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA | 2023-09-22 13:10 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Development and Evaluation of Construction Method of Machine Learning Model for Behavior Estimation of Elderly People based on Sensor Fusion around LiDAR Keigo Shimatani, Hiroshi Yamamoto (Ritsumeikan Univ)  IA2023-26 |
In recent years, population is aging rapidly in Japan, and the shortage of caregivers in the welfare field is a serious ... [more] | IA2023-26 pp.95-100 |
| IA, ICSS | 2023-06-20 14:20 |
Saga | Saga Univ. (Primary: On-site, Secondary: Online) |
Development and evaluation of a dangerous behavior detection system at station platforms utilizing 3D LiDAR Yusuke Koyama, Hiroshi Yamamoto (Ritsumeikan Univ.) IA2023-3 ICSS2023-3 |
Many accidents occur on railroads although many railroad companies have proposed the measures against the accidents. For... [more] | IA2023-3 ICSS2023-3 pp.13-18 |
| MI | 2023-03-07 17:55 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A centerline-based post-processing for detecting intestinal obstructions in CT volumes Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130 |
This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal o... [more] | MI2022-130 pp.223-228 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 09:20 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
3D Point Cloud based Object Recognition and Auto True-Value System Construction for Autonomous Driving Bin Zhang, Congzhi Ren, Hun-ok Lim (KU) PRMU2022-100 IBISML2022-107 |
In this paper, an object recognition system based on 3D point cloud information is proposed and an automatic true value ... [more] | PRMU2022-100 IBISML2022-107 pp.217-219 |
| AP | 2022-10-19 12:20 |
Gifu | GIFU CITY CULTURE CENTER (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Study on 3D Imaging Error of Squint Mode Automotive TDM-MIMO SAR Masaya Kato, Hiroyoshi Yamada (Niigata Univ.) AP2022-128 |
Recently, object collision prevention systems have been developed to improve driving safety. Millimeter-wave radar has a... [more] | AP2022-128 pp.143-148 |
| IA, CQ, MIKA (Joint) |
2022-09-16 15:20 |
Hokkaido | Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
Development and Evaluation of Low Power Condition Detection System for Harmful Animals by Interlocking Multiple Sensing Devices Keigo Uchiyama, Hiroshi Yamamoto (Ritsumeikan Univ.) IA2022-31 |
In recent years, damage to crops and injuries to humans by harmful birds and animals have increased in areas of Japan. ... [more] |
IA2022-31 pp.91-96 |
| RCS, SR, SRW (Joint) |
2022-03-04 17:15 |
Online | Online | A Study on Detecting Object Location Information in Indoor Environment Using Fixed 3D LiDAR Mizuki Tanaka, Seiichi Sampei, Takumi Takahashi (Osaka Univ.) RCS2021-295 |
This paper proposes a 3D map creation scheme for detecting objects in indoor environments using 3D LiDARs. In the propos... [more] | RCS2021-295 pp.218-222 |
| AP | 2021-10-07 13:00 |
Online | Online | [Poster Presentation]
Study on 3D Imaging by Automotive SAR using Electromagnetic Field Simulator Masaya Kato, Hiroyoshi Yamada (Niigata Univ.) AP2021-70 |
Recently, object collision prevention systems have been developed in order to improve the safety of automotive driving. ... [more] | AP2021-70 pp.13-18 |
| MI | 2021-07-08 13:30 |
Online | Online | [Short Paper]
Performance comparison of multiple deep CNN methods for multiple organ detection in CT images Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10 |
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] | MI2021-10 pp.7-10 |
| PRMU, BioX | 2019-03-17 10:00 |
Tokyo | Investigation of Training Dataset based on 3DCG Simulation for Road Sign Detection using Deep Learning Ryuto Kato, Satoshi Nishiguchi, Yasuharu Mizutani, Wataru Hashimoto (OIT) BioX2018-29 PRMU2018-133 |
Deep learning is utilized in a field of image recognition for automated driving. However, it is costly of the time to co... [more] | BioX2018-29 PRMU2018-133 pp.1-6 |
|
| EA, ASJ-H, EMM, IPSJ-MUS [detail] | 2018-11-21 13:30 |
Ishikawa | Hotel Koshuen | [Poster Presentation]
Video Forgery Detection Using Spatio-Temporal Convolutional Neural Network Shoken Ohshiro (Osaka Univ), Kazuhiro Kono (Kainsai Univ), Noboru Babaguchi (Osaka Univ) EA2018-71 EMM2018-71 |
It is easy to tamper with videos due to the improvement of video editing technology.We need to develop forgery detection... [more] | EA2018-71 EMM2018-71 pp.49-52 |
| SANE | 2018-11-08 14:10 |
Overseas | China (Xuchang) | Imaging Performance of Millimeter Wave SAR for Portable Weapon Detection Koki Homma, Hiroyoshi Yamada, Ryoichi Sato, Yoshio Yamaguchi (Niigata Univ.), Hiroki Mori (Toshiba), Kazuyoshi Takagi, Hironori Dobashi, Yasushi Murakami (Toshiba Infrastructure Systems & Solutions) SANE2018-58 |
Concealed weapon detection by electromagnetic wave have been attracting attention recently. Currently, several products ... [more] | SANE2018-58 pp.17-20 |
| PRMU, CNR | 2018-02-20 09:30 |
Wakayama | Detection of outdoor cables from point-cloud measured by MMS
-- Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) -- Hitoshi Niigaki, Ken Tsutsuguchi, Tetsuya Kinebuchi (NTT) PRMU2017-159 CNR2017-37 |
Research results on detecting details of outdoor structures using point clouds measured by Mobile Map- ping Systems hav... [more] |
PRMU2017-159 CNR2017-37 pp.83-87 |
|
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2017-11-30 17:00 |
Aichi | Nagoya University | Discovering Optimal Matching among Projected Image Sets with View Constraints for 3D Object Detection in Point Clouds Tomoaki Yamazaki, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) CS2017-70 IE2017-85 |
In this paper, we propose a method for 3D object detection in point clouds. Our method obtains projected image sets by... [more] |
CS2017-70 IE2017-85 pp.63-66 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 10:45 |
Hokkaido | Hokkaido Univ. | Estimating Proper View-points for 3D Object Detection based on Principal Component Analysis in Point Clouds Tomoaki Yamazaki, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) ITS2016-48 IE2016-106 |
In this paper, we propose a method for 3D object detection in point clouds.Our method projects point clouds to virtual c... [more] | ITS2016-48 IE2016-106 pp.227-230 |
| PRMU | 2014-10-09 15:00 |
Chiba | Learning Similarities for Rigid and Non-Rigid Object Detection Asako Kanezaki (Univ. of Tokyo), Emanuele Rodola, Daniel Cremers (Technische Univ. Munchen), Tatsuya Harada (Univ. of Tokyo) PRMU2014-56 |
We propose an optimization method for estimating parameters in graph-theoretical formulations of the matching problem fo... [more] | PRMU2014-56 pp.13-18 |
|
| EMM, EA | 2013-11-15 16:45 |
Hiroshima | Prefectural University of Hiroshima, Satellite Campus Hiroshima | Detection for Matrix Barcode inside Fabricated Object via a X-ray Computed Tomography Scanner Masataka Imai, Toshio Modegi, Keigo Hirokawa, Kaisei Sakurai, Toshio Ariyoshi, Daiki Katou (DNP) EA2013-87 EMM2013-87 |
As 3D printers come into popularity， 3D data for fabrication are being distributed. Copyrights of 3D data should be also... [more] | EA2013-87 EMM2013-87 pp.113-118 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2012-02-20 15:20 |
Hokkaido | Hokkaido Univ. | Detection of 3D points on moving objects from point cloud data based on luminance variation for 3D modeling of outdoor environments Tsunetake Kanatani (Hyogo Pref. Inst. of Tech./NAIST), Hideyuki Kume, Takafumi Taketomi, Tomokazu Sato, Naokazu Yokoya (NAIST) ITS2011-42 IE2011-118 |
A 3D modeling technique for an urban environment can be applied to several applications such as landscape simulation, na... [more] | ITS2011-42 IE2011-118 pp.153-158 |
| SANE | 2011-11-25 11:25 |
Nara | Nara National Research Institute for Cultural Properties | 3D GPR Signal Processing for Detecting Natural Disaster Damages Ahmed Gaber, Yuya Yokota, Motoyuki Sato (Tohoku Univ.) SANE2011-125 |
High resolution subsurface images were obtained using new 3D-GPR system with millimeter accuracy to effectively detect t... [more] | SANE2011-125 pp.71-75 |
| PRMU, IE | 2008-03-10 11:10 |
Ishikawa | A method to input a real scene for a 3D display using high-density directional images Masashi Tsuboi, Shinji Kimura, Tsutomu Horikoshi (NTT DoCoMo Inc.) IE2007-283 PRMU2007-267 |
We propose a method to input a real scene for a 3D display using high-density directional images. The 3D image is create... [more] | IE2007-283 PRMU2007-267 pp.139-144 |
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