Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ASN, MoNA, IPSJ-MBL, IPSJ-UBI [detail] |
2019-03-05 14:25 |
Tokyo |
The University of Tokyo, Komaba Campus |
Tracking Multiple Pedestrians Using the Network of Human Detectors Kyosuke Konishi, Hiroshi Kameda (Mitsubishi Electric Corp.) ASN2018-112 |
Tracking indoor pedestrians makes logistics in a factory effective and a security system in a building accurate. Convent... [more] |
ASN2018-112 pp.203-208 |
CS, IE, IPSJ-AVM, ITE-BCT [detail] |
2018-11-30 15:15 |
Tokushima |
Tokushima University (Memorial Hall of Almuni(Engineering)) |
A pedestrian tracking system using ICA and a particle filter Yoshihiro Tomonari, Yukinori Suzuki (Muroran IT) CS2018-86 IE2018-65 |
A pedestrian tracking system has been studied for various systems such as surveillance systems and traffic monitoring sy... [more] |
CS2018-86 IE2018-65 pp.117-122 |
PRMU, BioX |
2017-03-20 16:10 |
Aichi |
|
Report of the 20th PRMU Algorithm Contest
-- Track Pedestrians across Multiple Cameras! -- Yasutomo Kawanishi, Takashi Maeda (Nagoya Univ.), Tsukasa Mori (Mie Univ.), Yuki Kodama (Nagoya Univ.), Daisuke Satoh (Tohoku Univ.), Takuro Ina (Kyoto Univ.), Shohei Kumagai (Meijo Univ.) BioX2016-45 PRMU2016-208 |
This paper reports a summary of the 20th algorithm contest organized by PRMU (Pattern Recognition and Media Understandin... [more] |
BioX2016-45 PRMU2016-208 pp.67-79 |
PRMU |
2016-12-15 16:40 |
Tottori |
|
The 20th PRMU Algorithm Contest Award Ceremony Yasutomo Kawanishi (Nagoya Univ.) |
In this session, we give awards of the 20th algorithm contest organized by PRMU (Pattern Recognition and Media Understan... [more] |
|
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 |
RCS |
2015-04-16 20:00 |
Oita |
Yufuin, Yufugoukan |
[Invited Lecture]
ITS and its perspective on wireless communications Takaya Yamazato (Nagoya Univ.) RCS2015-6 |
Automated driving system becomes a hot topic and the R&D in US, EU, and Japan focuses near future market deployment of t... [more] |
RCS2015-6 p.31 |
PRMU |
2014-06-20 11:00 |
Tokyo |
|
Pedestrian Counting in a Fixed Camera by Combining Regression with Pass Detection Yasutomo Kawanishi, Nagisa Shimizu, Masayuki Mukunoki, Michihiko Minoh (Kyoto Univ.) PRMU2014-30 |
In this paper, we address a problem of pedestrian counting in a surveillance video captured by a fixed camera in a shopp... [more] |
PRMU2014-30 pp.49-54 |
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 |
MoNA, AN, IPSJ-MBL, IPSJ-UBI (Joint) [detail] |
2013-03-15 15:25 |
Tokyo |
The University of Tokyo |
Sensor Placement Optimization Method for Crowd of People Tracking Takumi Kanaya, Akihito Hiromori, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.) MoMuC2012-72 |
Pedestrian flow estimation has become more popular because trajectory and traffic information of people can be utilized ... [more] |
MoMuC2012-72 pp.323-328 |
MVE |
2012-05-14 15:10 |
Kanagawa |
|
Ego-motion tracking system for seamless combination of indoor navigation and augmented reality exhibits Takashi Okuma, Koji Makita, Tomoya Ishikawa, Masakatsu Kourogi (AIST), Thomas Vincent, Laurence Nigay (Univ. Joseph Fourier), Takeshi Kurata (AIST) MVE2012-2 |
This paper describes a system that shows AR content for supporting user’s activities in indoor environment. We aimed to ... [more] |
MVE2012-2 pp.23-28 |
PRMU, HIP |
2012-03-29 10:40 |
Hyogo |
|
Fast Pedestrian detection using LBP-based patterns of oriented edges Ahmed Boudissa, Joo Kooi Tan, Hyoungseop Kim, Seiji Ishikawa (Kyusyu Inst. of Tech.) PRMU2011-247 HIP2011-75 |
[more] |
PRMU2011-247 HIP2011-75 pp.41-46 |
ITS |
2011-05-26 14:00 |
Kanagawa |
Yokosuka Research Park |
Acquisition of Pedestrian Trajectory around Vehicle Using On-board camera Yuuki Shibayama, Kim HyungKwan, Shunsuke Kamijo (Univ. of Tokyo) ITS2011-3 |
This paper presents a general algorithm for pedestrian detection by on-board monocular camera, which can be applied to c... [more] |
ITS2011-3 pp.13-18 |
ITS, IEE-ITS |
2011-03-11 15:20 |
Kyoto |
|
Behavior Understandings by Postures and Trajectories in Railway Station Kaichi Fujimura, Shunsuke Kamijo (Univ. of Tokyo) ITS2010-77 |
Public safety and security in the railway station is significant. This paper describes a development of a framework comp... [more] |
ITS2010-77 pp.59-64 |
SIS |
2010-12-03 10:50 |
Nara |
|
How should we combine detection and tracking to achieve accurate pedestrian recognition? Hiroki Sugano, Ryusuke Miyamoto (NAIST) SIS2010-50 |
Accurate pedestrian recognition is required in collision
avoidance of automotive applications and intruder detection sy... [more] |
SIS2010-50 pp.89-94 |
PRMU, SP, MVE, CQ |
2010-01-22 11:00 |
Kyoto |
Kyoto Univ. |
Indoor Pedestrian Tracking System Based on Synergistic Service Linkages Tomoya Ishikawa, Masakatsu Kourogi, Takashi Okuma, Takeshi Kurata (AIST) CQ2009-93 PRMU2009-192 SP2009-133 MVE2009-115 |
We propose an indoor pedestrian tracking system that synergistically enhances quality and value of services and the trac... [more] |
CQ2009-93 PRMU2009-192 SP2009-133 MVE2009-115 pp.249-254 |
SIS |
2009-06-11 14:20 |
Okinawa |
|
A study about feature extraction suitable for pedestrian tracking from a far view point Takehiro Ishiguro, Ryusuke Miyamoto (Nara Inst. of Sci and Tech.) SIS2009-7 |
Nowadays, many pedestrian recognition schemes for automotive and surveillance applications are proposed. In such applica... [more] |
SIS2009-7 pp.37-42 |
ITE-BCT, IE, CS, IPSJ-AVM |
2008-12-11 14:25 |
Aichi |
Nagoya University |
Pedestrian Tracking by using MPEG-based Video Signal Processing Mikio Sasaki, Hideaki Nanba (DENSO Co.) CS2008-42 IE2008-106 |
In this paper, we propose a method for pedestrian detection and tracking which is based on MPEG video processing. Firstl... [more] |
CS2008-42 IE2008-106 pp.17-22 |
ITS |
2008-05-22 16:15 |
Kanagawa |
Yokosuka Research Park |
Robust Human Tracking against Occlusion through Multiple Cameras Yasuhide Hyodo, Kaichi Fujimura (Tokyo Univ.), Shinya Yuasa, Takeshi Naito (OMRON), Shunsuke Kamijo (Tokyo Univ.) ITS2008-7 |
Tracking individual pedestrians through camera network is quite important for the security issue today. In the practical... [more] |
ITS2008-7 pp.39-44 |
PRMU |
2007-03-15 10:00 |
Okayama |
|
Prediction of a path of pedestrian using Eigenspace and correction with the null space Yuji Shinomura, Toru Tamaki (Hiroshima Univ.), Toshiyuki Amano (Nagoya Inst. Tech.), Kazufumi Kaneda (Hiroshima Univ.) |
This paper proposes a method for Eigenspace-based prediction of a
person's path in future with current path. This met... [more] |
PRMU2006-239 pp.25-30 |
IE, ITS, ITE-AIT, ITE-ME |
2005-02-03 10:00 |
Hokkaido |
|
Tracking pedestrian responding to changing posture Kohei Matsuda, Miki Haseyama, Hideo Kitajima (Hokkaido Univ.) |
This paper proposes a robust pedestrian tracking method against their postural change. The proposed method prepares diff... [more] |
ITS2004-45 IE2004-179 pp.29-34 |