Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CQ, CBE (Joint) |
2022-01-27 16:05 |
Ishikawa |
Kanazawa(Ishikawa Pref.) (Primary: On-site, Secondary: Online) |
Proposal and evaluation of 3D-point object estimation method based on probability space representation Hiroaki Sato, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) CQ2021-83 |
New network services are expected to emerge using real spatial information in remote areas. For the advancement of servi... [more] |
CQ2021-83 pp.39-44 |
SeMI |
2021-01-21 14:10 |
Online |
Online |
[Poster Presentation]
A Simulation Study on WiFi Imaging for Object Identification Yukiho Morita, Yoshihiro Nakagawa (Osaka Univ.), Akira Uchiyama (Osaka Univ./JST PRESTO), Teruo Higashino (Osaka Univ.) SeMI2020-53 |
In recent years, sensing using WiFi signals (wireless sensing) has been attracting attention as maintenance-free behavio... [more] |
SeMI2020-53 pp.57-62 |
PRMU, IPSJ-CVIM |
2020-03-17 09:30 |
Kyoto |
(Cancelled but technical report was issued) |
Object area extraction with biased training data set Ryo Nakamura, Yoshiaki Ueda, Jun Fujiki, Masaru Tanaka (Fukuoka Univ) PRMU2019-88 |
In order to extract an object region using machine learning, it is necessary to give a teacher label to each pixel. Prov... [more] |
PRMU2019-88 pp.115-119 |
SIS |
2020-03-06 10:40 |
Saitama |
Saitama Hall (Cancelled but technical report was issued) |
Tracking of human with occlusion in thermal images using particle filter Kohei Tsukahara, Katsuya Kondo, Mishiba Kazu (Tottori Univ) SIS2019-51 |
One of the factors that makes it difficult to track objects in image processing is the occlusion problem. Especially in ... [more] |
SIS2019-51 pp.79-84 |
RCS, SR, SRW (Joint) |
2020-03-05 09:00 |
Tokyo |
Tokyo Institute of Technology (Cancelled but technical report was issued) |
Object identification with millimeter-wave radar using LSTM Takashi Nakamura (Keio Univ.), Kentaroh Toyoda (A*STAR, SIMTech, Singapore), Tomoaki Ohtsuki (Keio Univ.) RCS2019-349 |
Identifying objects is in great demand for avoiding road accidents.
Radar-based method is superior to camera-based one ... [more] |
RCS2019-349 pp.153-158 |
NS |
2019-05-17 11:35 |
Tokyo |
Kogakuin Univ. (Shinjuku Campus) |
Performance Consideration of Distributed System in LAN Based on Visualization of Packet Transfer Shumpei Hayakawa, Saneyasu Yamaguchi (Kogakuin Univ.) NS2019-33 |
Object storage attracts attention as a storage system that manages increased data efficiently. Object storage has the ad... [more] |
NS2019-33 pp.75-80 |
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 |
SAT, RCS (Joint) |
2018-08-10 11:40 |
Iwate |
Iwate University |
Object Identification with Time Series of Millimeter-wave Radar Information Takashi Nakamura, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.), Osamu Isaji, Kazuaki Hamada, Toshiyuki Miyazaki (DENSO TEN) RCS2018-145 |
Identifying objects with radar is in great demand for avoiding road accidents. Recent research tried to identify moving ... [more] |
RCS2018-145 pp.75-80 |
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 |
PRMU |
2017-10-13 11:40 |
Kumamoto |
|
Object Identification from Underground Radar Images by CNN With Partially VGG Structure Jun Sonoda (NIT, Sendai College), Tomoyuki Kimoto (NIT, Oita College) PRMU2017-91 |
Recently, deterioration of social infrastructures such as tunnels and bridges become a serious social problem. It is req... [more] |
PRMU2017-91 pp.161-166 |
MWP, OPE, EMT, MW, EST, IEE-EMT [detail] |
2017-07-21 09:50 |
Hokkaido |
Obihiro Chamber of Commerce and Industry |
Characteristics of Object Identification by Ground Penetrating Radar Images using Deep Learning Jun Sonoda (NIT, Sendai), Tomoyuki Kimoto (NIT, Oita) EMT2017-23 MW2017-48 OPE2017-28 EST2017-25 MWP2017-25 |
Recently, deterioration of social infrastructures such as tunnels and bridges become a serious social problem. It is req... [more] |
EMT2017-23 MW2017-48 OPE2017-28 EST2017-25 MWP2017-25 pp.89-94 |
SANE |
2017-01-26 15:20 |
Nagasaki |
Nagasaki Prefectural Art Museum |
Object Identification by Ground Penetrating Radar using Deep Learning with Radar Images using FDTD Method on GPU Cluster Jun Sonoda (NIT, Sendai College), Tomoyuki Kimoto (NIT, Oita College) SANE2016-103 |
Recently, deteriorations of social infrastructures such as tunnels and bridges become a serious social problem. It is re... [more] |
SANE2016-103 pp.41-46 |
PRMU |
2016-10-21 16:50 |
Miyazaki |
|
Image Categorization Using Collaborative Mean Attraction Hiroki Ogihara, Masayuki Mukunoki (Univ. of Miyazaki) PRMU2016-109 |
In this paper, we apply Collaborative Mean Attraction (CMA) method, which has been applied to person re-identification p... [more] |
PRMU2016-109 pp.103-106 |
CQ |
2016-05-24 15:45 |
Fukuoka |
Kyushu University |
QoE Assessment of Fairness in Networked Virtual Object Identification Game with Haptic Sense
-- Effect of Olfactory and Auditory Senses -- Ryo Arima, Mya Sithu, Yutaka Ishibashi (NITech) CQ2016-21 |
By using haptic and olfactory senses as well as visual and auditory senses, it is expected that we are able to play netw... [more] |
CQ2016-21 pp.49-54 |
MW (2nd) |
2015-08-06 - 2015-08-08 |
Overseas |
Chulalongkorn Univ., Bangkok, Thailand |
Radar Target Identification of Coated Object Using Cauchy Method Nattawat Chantasen, Akkarat Boonpoonga (KMUTNB) |
This paper presents an identification of coated PEC sphere using Cauchy method. Simulations were conducted to investigat... [more] |
|
EMT, MW, OPE, MWP, EST, IEE-EMT [detail] |
2015-07-17 15:20 |
Hokkaido |
Kushiro City Lifelong Learning Center |
Eigenvalue/eigenvector Analysis of Polarimetric Matrix for Detecting Deformed Man-made Objects Ryoichi Sato, Motoki Masaka, Yuhei Ikarashi, Yoshio Yamaguchi, Hiroyoshi Yamada (Niigata Univ.) EMT2015-41 MW2015-79 OPE2015-53 EST2015-45 MWP2015-44 |
In this report, we carry out polarimetric scattering analysis for deformed (inclined) man-made objects model, which may ... [more] |
EMT2015-41 MW2015-79 OPE2015-53 EST2015-45 MWP2015-44 pp.191-195 |
PRMU |
2014-12-12 11:30 |
Fukuoka |
|
Saliency for Object Identification Based on Color Attribute Yuko Ozasa, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2014-79 |
In an aging society, a service robot will come into our life. It is important for the robot to identify
an object spec... [more] |
PRMU2014-79 pp.79-83 |
BioX |
2014-10-16 15:20 |
Okinawa |
Nobumoto Ohama Memorial Hall (Ishigaki) |
Fingerprint Imaging of Specular Surface Using Binary Angular Reflection Rui Ishiyama, Toru Takahashi (NEC) BioX2014-32 |
This paper proposes an imaging method for individual identification of metal parts using the image features of the appea... [more] |
BioX2014-32 pp.23-28 |
PRMU |
2014-10-09 15:30 |
Chiba |
|
Saliency for Object Identification Yuko Ozasa, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2014-57 |
Identifying an object specified by human speech from several objects is one of the important function for a household ro... [more] |
PRMU2014-57 pp.19-24 |
ASN |
2014-05-29 14:30 |
Tokyo |
Convention Hall, RCAST, The University of Tokyo |
[Poster Presentation]
Assistance in finding objects with the RSSI variation characteristics of RFID tags Ryoma Nojiri, Yuki Abe, Yuusuke Kawakita, Haruhisa Ichikawa (UEC) ASN2014-21 |
We study a method to find objects with radio frequency identification (RFID) system. There are many indoor positioning m... [more] |
ASN2014-21 pp.69-74 |