Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
WIT, IPSJ-AAC |
2024-03-18 12:40 |
Ibaraki |
Tsukuba University of Technology (Primary: On-site, Secondary: Online) |
Evaluation of the Effect of Passive haptic guidance Conditions on Cognitive reproduction of Spatial Position. Tadahiro Sakai, Junji Ohnishi, Masatsugu Sakajiri, Masaki Matsuo (NTUT), Takahiro Miura (AIST) WIT2023-42 |
We have been developing a spatial haptic-guidance presentation system that allows visually impaired individuals to quick... [more] |
WIT2023-42 pp.19-24 |
AP |
2024-03-15 16:00 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
Improved Accuracy of AOA Estimation of Moving Object in Nakagami-Rice Propagation Environments Kazuhiro Honda, Yuto Sekino (Univ. of Toyama) AP2023-221 |
To ensure the success of upcoming car-to-car networks, we are developing a 4 × 4 multiple-input multiple-output (MIMO) a... [more] |
AP2023-221 pp.109-114 |
ITS, WBS, RCC |
2023-12-22 14:50 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Fundamental study on Micro Micro-Doppler Detection of Moving Drone using Millimeter Millimeter-wave Fast Chirp Modulation Radar Dovchin Tsagaanbayar, Kenshi Ogawa, Ryohei Nakamura (NDA) WBS2023-58 ITS2023-41 RCC2023-52 |
It is important to realize a system to detect and monitor drones, and radar is one of the effective detection technologi... [more] |
WBS2023-58 ITS2023-41 RCC2023-52 pp.156-160 |
SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 16:00 |
Osaka |
Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
An Initial Study on Object Detection under Car Body with Wi-Fi CSI Riku Tokumine, Masakatsu Ogawa (Sophia Univ.), Atsuhiro Takahashi, Hideto Shimada, Kentaro Mizuno (Toyota CRDL) SeMI2023-34 |
Detecting the passage of objects under the car is essential because the obstacles under the car interfere with the car's... [more] |
SeMI2023-34 pp.58-62 |
WIT |
2023-06-16 15:25 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Proposal and Development of Spatial Haptic Guidance Presentation System for Visually Impaired People. Tadahiro Sakai, Jyunji Ohnishi, Masatsugu Sakajiri (NTUT), Takahiro Miura (AIST) WIT2023-4 |
A spatial haptic guidance presentation system that aims to enable visually impaired people to quickly grasp three-dimens... [more] |
WIT2023-4 pp.18-23 |
RCS |
2022-04-22 15:05 |
Osaka |
Osaka University, and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Autonomously Configured Wireless Networks Kazuki Maruta (Tokyo Univ. of Science) RCS2022-12 |
As typified by the IoT, mobile traffic continues to increase with the spread of devices equipped with wireless communica... [more] |
RCS2022-12 p.55 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 14:55 |
Online |
Online |
Development of Automatic Driving Methods for Moving Bodies Based on the Just-In-time Control Method Tatsuya Kai (Tokyo Univ. of Science), Ryouhei Kakurai (TOTO LTD.), Kazuki Fukawa, Shouichi Miyagaitsu (Tokyo Univ. of Science) NC2021-5 IBISML2021-5 |
This study is devoted to development of automatic driving methods for moving bodies such as cars and multicopters based ... [more] |
NC2021-5 IBISML2021-5 pp.31-38 |
SIS |
2021-03-04 12:10 |
Online |
Online |
Data Extraction from Printed Data-Embedding Image Using Projectors Motoki Amami, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2020-44 |
A method that embeds information in images to extract additional information using the camera of a mobile device has bee... [more] |
SIS2020-44 pp.49-54 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 09:30 |
Hokkaido |
Hokkaido Univ. |
Effectiveness Verification of Intersection Area Sensing for the Moving Object Identification and the Notification System to Traffic Users Yasuharu Asai (KICTEC), Haruki Kawanaka, Koji Oguri (Aichi Pref. Univ.) ITS2018-65 IE2018-86 |
Accidents at intersections are mostly collision accidents. The cause of the occurrence is that it is not aware of the pr... [more] |
ITS2018-65 IE2018-86 pp.61-65 |
WPT (2nd) |
2018-11-02 - 2018-11-04 |
Miyagi |
Tohoku University |
Study on Electrically Coupled WPT System Inspired by Disk Repeater for Horizontally Moving Objects Kohei Ohguro, Wataru Uemura (Ryukoku Univ), Ikuo Awai (Ryutech Co., Ltd.) |
(To be available after the conference date) [more] |
|
NC, MBE (Joint) |
2018-10-19 16:50 |
Miyagi |
Tohoku Univ. |
Human Three-Joint Arm's Moving-Object Capturing Characteristics and Its Mathematical Model Yasunobu Kimura, Toshikazu Matsui (Gunma Univ.) NC2018-19 |
This research formulates a mathematical model that simulates human arm’s reaching movements for capturing a uniformly an... [more] |
NC2018-19 pp.33-38 |
PRMU |
2017-12-17 17:00 |
Kanagawa |
|
A Background Subtraction Method with an Image Set as a Background Model Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2017-111 |
Background subtraction method is one of the approaches for extractingthe regions of moving objects such as people and ve... [more] |
PRMU2017-111 pp.65-70 |
SIS |
2017-12-15 11:10 |
Tottori |
Tottori Prefectural Center for Lifelong Learning |
Improvement of passing-by object removal using time-series images Hiroaki Ishino, Mami Nagoya, Tomoaki Kimura, Hiroyuki Tsuji (KAIT) SIS2017-51 |
Moving objects such as passersby, automobiles, etc. sometimes happen to be in the photo, when taking pictures of landsca... [more] |
SIS2017-51 pp.101-106 |
PRMU |
2017-10-13 15:50 |
Kumamoto |
|
[Short Paper]
Research of Automatic Separation for Background and Moving Objects based on Spatio-Temporal Image Processing Sho Nakamura, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) PRMU2017-100 |
In this paper, we propose a method for automatically separating moving objects and background from video. Research to re... [more] |
PRMU2017-100 pp.211-212 |
SANE |
2017-08-25 14:45 |
Osaka |
OIT UMEDA Campus |
Theoretical Study on DOA Estimation Error of Moving Object by Using Alternate Transmission MIMO Radar Suguru Ohashi, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.) SANE2017-42 |
The Multiple-Input Multiple-Output (MIMO) Radar can increase the number of receiving elements virtually and improve the ... [more] |
SANE2017-42 pp.77-82 |
PRMU, IE, MI, SIP |
2017-05-26 12:00 |
Aichi |
|
Background Modeling based on Gaussian Mixture Model using Spatial Features Kan Zheng, Toshio Kondo, Yuki Fukazawa, Takahiro Sasaki (Mie Univ.) SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24 |
Many methods for detecting a moving object from surveillance video using a background model have been proposed. Mixed Ga... [more] |
SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24 pp.125-130 |
PRMU, BioX |
2017-03-21 15:25 |
Aichi |
|
Aggregating Appearance and Motion Information using LSTM for Moving Object Detection Tuan Tu Trinh, Ryota Yoshihashi, Rei Kawakami (Todai), Shaodi You (Data61-CSIRO, ANU), Makoto Iida, Takeshi Naemura (Todai) BioX2016-70 PRMU2016-233 |
Recently, Convolutional Neural Networks (CNNs) have shown impressive results in still image data for the reason that the... [more] |
BioX2016-70 PRMU2016-233 pp.221-226 |
IE |
2016-07-01 15:15 |
Okinawa |
|
Local Motion Removal based Dynamic Camera Calibration for Synthesizing Free Viewpoint Soccer Video Qiang Yao, Keisuke Nonaka, Hiroshi Sankoh, Sei Naito (KDDI Labs) IE2016-44 |
Accurate camera parameter is regarded as a key factor in generating free viewpoint video with a high quality. Video regi... [more] |
IE2016-44 pp.49-53 |
ITS |
2016-05-28 15:15 |
Hokkaido |
Hokkaido Univ |
Experimental study of moving object tracking based on data fusion of range finders and accelerometers Kenshi Saho, Yusuke Takahashi, Masao Masugi (Ritsumeikan Univ.) ITS2016-1 |
In this report, we evaluate experimental performance of tracking lters using position and acceleration measurements con... [more] |
ITS2016-1 pp.1-5 |
SAT, WBS (Joint) |
2016-05-20 10:45 |
Aichi |
Nagoya Institute of Technology |
A Study on Moving Object Positioning Method using Multi-static Ultra-wideband Sensor Ryohei Nakamura, Hisaya Hadama (National Defense Academy) WBS2016-10 |
The ultra-wideband (UWB) radio sensor systems which can accurately detect a distance and behavior of a moving object are... [more] |
WBS2016-10 pp.53-58 |