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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
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
 Results 1 - 20 of 20  /   
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