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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| 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 |
| 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] | |
| 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, 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 |
|
| HCS, HIP, HI-SIGCOASTER [detail] | 2016-05-18 15:50 |
Okinawa | Okinawa Industry Support Center | Perception of still objects in multi-slit viewing by movement of observers Tomo Tanoue (Osaka Univ.), Junji Watanabe (NTT), Taro Maeda, Hideyuki Ando (Osaka Univ.) HCS2016-14 HIP2016-14 |
Multi-slit viewing is an illusion in which an observer can see a whole image of a moving objects in a display with multi... [more] | HCS2016-14 HIP2016-14 pp.95-99 |
| DE, IPSJ-DBS, IPSJ-IFAT | 2015-08-06 11:00 |
Nara | Todaiji Culture Center | Safe-Region Generation Method for Vicinity Queries in Road Network Distance Yutaka Ohsawa, Htoo Htoo (Saitama Univ.) DE2015-15 |
This paper proposes a fast safe-region generation method for several kinds of vicinity queries including distance range... [more] |
DE2015-15 pp.61-66 |
| RCC, ASN, RCS, NS, SR (Joint) |
2015-07-30 10:30 |
Nagano | JA Naganoken Bldg. | [Poster Presentation]
Construction of an Experimental Wireless Control System using an Image Sensor for Multiple Moving Objects Shota Kimura, Kentaro Kobayashi, Hiraku Okada, Masaaki Katayama (Nagoya Univ.) RCC2015-23 NS2015-43 RCS2015-106 SR2015-24 ASN2015-33 |
This paper discuss the implementation of a communication method suited to wireless feedback control of multiple moving... [more] |
RCC2015-23 NS2015-43 RCS2015-106 SR2015-24 ASN2015-33 pp.33-34(RCC), pp.37-38(NS), pp.35-36(RCS), pp.51-52(SR), pp.73-74(ASN) |
| PRMU, BioX | 2015-03-20 10:30 |
Kanagawa | A Study on Removal of Temporal Objects from Image Sequences Based on Adaptive Background Selection Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) BioX2014-66 PRMU2014-186 |
In recent years, there is a strong demand for street-view databases that do not include temporal objects. However, it is... [more] | BioX2014-66 PRMU2014-186 pp.165-170 |
|
| SIS | 2014-12-19 11:15 |
Kyoto | Kyoto Research Park (Kyoto City) | Passing-by object removal by using several time-series images Yuko Ishizawa, Tomoaki Kimura, Hiroyuki Tsuji (KAIT) SIS2014-83 |
When taking pictures of scenery and architecture in a sightseeing spot, it often happens that the tourists visiting ther... [more] | SIS2014-83 pp.93-98 |
| PRMU | 2014-10-09 14:00 |
Chiba | A study on the reference image selection for the removal of moving objects from frontal in-vehicle camera videos Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2014-54 |
In recent years, the demand for a street-view image database combining street-view images and their location information... [more] | PRMU2014-54 pp.1-6 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 09:10 |
Osaka | Spotting recognition of performance motions of figure skating from videos of TV broadcasting Yuki Yokokura, Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ. of Aizu) PRMU2013-106 MVE2013-47 |
We report the result of spotting recognition of sport motions captured by moving cameras of broadcasting TV. We focused ... [more] | PRMU2013-106 MVE2013-47 pp.159-164 |
|
| DE, IPSJ-DBS, IPSJ-IFAT | 2013-07-23 14:00 |
Hokkaido | Hokkaido University | Query Processing in Moving Robot Databases Kento Sugiura, Arata Hayashi, Yoshiharu Ishikawa (Nagoya Univ.) DE2013-26 |
In this paper, we propose methods for monitoring query processing in moving robot databases. We develop our approach bas... [more] | DE2013-26 pp.145-150 |
| PRMU | 2013-06-11 15:30 |
Tokyo | Spotting Recognition of Motions from a Video Captured by a Moving camera Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ Aizu) PRMU2013-31 |
In the technology of first person vision, recognition of human motions is an important function as well as recognition o... [more] | PRMU2013-31 pp.71-76 |
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