Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] |
2019-09-20 09:30 |
Niigata |
Tokimeito, Niigata University |
An identification method of pedestrian's walking path using satellite positioning and walking path information Hirofumi Abe, Keihiro Ochiai, Hitoshi Seshimo (NTT) LOIS2019-13 IE2019-26 EMM2019-70 |
In order to perform navigation for people and wheelchair users, it is necessary to estimate the location of the sidewalk... [more] |
LOIS2019-13 IE2019-26 EMM2019-70 pp.53-58 |
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, IPSJ-CVIM, MVE [detail] |
2017-01-19 15:30 |
Kyoto |
|
Identifiation PDR sensor user with person taken by RGB-D camera utilizing double support phase of gait Yoshiki Hashimoto (Kyushu Univ.), Masaki Onishi, Masakatsu Kourogi, Takeshi Kurata (AIST), Atsushi Shimada (Kyushu Univ.), Daisaku Arita (Univ. of Nagasaki), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2016-133 MVE2016-24 |
An indoor pedestrian position estimation method is one of the important basic techniques to make novel human-centered se... [more] |
PRMU2016-133 MVE2016-24 pp.129-134 |
PRMU, IPSJ-CVIM, MVE [detail] |
2016-01-21 11:30 |
Osaka |
|
Identification between Pedestrian Observed RGB-D camera and PDR User for Pedestrian Position Tracking in an Indoor Environment Wataru Kihara (Nagaoka Univ. of Tech.), Ryo Kawahata (Kyushu Univ.), Masaki Onishi, Masakatsu Kourogi, Takeshi Kurata (AIST) PRMU2015-115 MVE2015-37 |
Getting Information of positions and directions of pedestrians indoors is basic technology for providing people with ser... [more] |
PRMU2015-115 MVE2015-37 pp.31-36 |
PRMU |
2015-12-22 14:10 |
Nagano |
|
[Special Talk]
Pedestrian Attributes Recognition from an Image: A Survey Yasutomo Kawanishi, Fumito Shinmura, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) PRMU2015-112 |
Pedestrian attributes from an image captured by a camera are important keys for various applications such as person reco... [more] |
PRMU2015-112 pp.117-127 |
RCC, ITS, WBS |
2015-12-17 13:30 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
A Study on Pedestrian detection by RSSI Variability Analysis by using 24GHz radar Kota Iwanaga, Keiji Jimi, Masanobu Inoue, Yohei Ohishi, Isamu Matsunami (Kitakyushu Univ.) WBS2015-60 ITS2015-32 RCC2015-62 |
Radio wave radar can be used without the rain, at night even during performance deteriorated compared to the camera and ... [more] |
WBS2015-60 ITS2015-32 RCC2015-62 pp.121-125 |
PRMU |
2013-12-13 14:00 |
Mie |
|
Approaches to Accurate Person Re-identification across Multiple Surveillance Cameras Yasutomo Kawanishi, Yang Wu, Masayuki Mukunoki, Michihiko Minoh (Kyoto Univ.), Shihong Lao (OSS) PRMU2013-85 |
We introduce our approaches to person detection, re-identification and person image retrieval developed in our research ... [more] |
PRMU2013-85 pp.103-108 |
PRMU |
2013-03-14 14:45 |
Tokyo |
|
Wide-Area Pedestrian Traffic Measurement by Flow Estimation across Foreground Regions in Non-Overlapping Camera Views Takayuki Nakazaki, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) PRMU2012-195 |
Our goal is to develop a method for measuring pedestrian traffic in a wide area monitored by non-overlapping cameras. Th... [more] |
PRMU2012-195 pp.87-92 |
ITS, IEE-ITS |
2012-03-15 14:25 |
Tokyo |
|
A Proposal for the Risk Prediction System on the basis of People Flow Mikio Sasaki (DENSO), Tomotaka Usui, Toshikazu Nakamura, Yoshihide Sekimoto (Univ. of Tokyo) ITS2011-57 |
The people flow data is defined as the time series of events each of which is composed of spatio-temporally interpolated... [more] |
ITS2011-57 pp.17-22 |
SANE |
2012-01-27 11:30 |
Nagasaki |
Nagasaki Prefectural Art Museum |
Accurate image separation of pedestrians with UWB Doppler imaging radars Hiroaki Homma, Kenshi Saho, Takuya Sakamoto, Toru Sato (Kyoto Univ.), Kenichi Inoue, Takeshi Fukuda (Panasonic Co.) SANE2011-153 |
A numerous studies have been devoted to developing security systems using ultra-wideband Doppler imaging radars to detec... [more] |
SANE2011-153 pp.67-72 |
HPB (2nd) |
2010-09-09 14:15 |
Nara |
Nara Women's Univ. |
A study about identification of pedestrian by using 3-axis accelerometer Daisuke Sugimori, Takeshi Iwamoto, Michito Matsumoto (Toyama Prefectural Univ.) |
Recently, there are many kinds of certification systems, for example, IC card system and biometric recognition system. H... [more] |
|
SIS |
2010-03-05 13:50 |
Kanagawa |
Kanagawa Institute of Technology |
A Study on the Estimation of the Number of Pedestrian from Footstep Takaya Maeshima, Hiroshi Yasukawa, Akitoshi Itai (Aichi Prefectural Univ.) SIS2009-72 |
Characteristics of human footstep are determined by the gait, the footwear and the floor environment. We can often under... [more] |
SIS2009-72 pp.129-133 |
ITS, IPSJ-ITS, IEE-ITS |
2007-09-19 15:15 |
Tokyo |
Institute of Industrial Science, University of Tokyo |
Positioning Method Using Road Traffic Sign to Correct GPS Error for Pedestrian Navigation Hidetaka Ohira, Nozomu Togawa, Masao Yanagisawa, Tatsuo Ohtsuki (Waseda Univ) ITS2007-28 |
GPS has a significant error caused by multipath, poor satellite reception and so on.
We propose a positioning method th... [more] |
ITS2007-28 pp.27-32 |