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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 21  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CNR, BioX 2024-02-29
15:00
Tokyo NHK Science & Technology Research Laboratories
(Primary: On-site, Secondary: Online)
Implementation and Evaluation of Privacy-Preserving Image Transformation Methods for Person Re-identification
Junpei Yamaguchi, Hajime Nada, Yumo Ouchi, Narishige Abe (Fujitsu) BioX2023-73 CNR2023-40
Advances in machine learning have enabled high-accuracy tracking of individuals using surveillance cameras, making the d... [more] BioX2023-73 CNR2023-40
pp.18-23
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
13:15
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Detecting objects of interest in a moving environment using gaze information
Yamato Miyajima, Dan Mikami (Kogakuin Univ) IMQ2022-75 IE2022-152 MVE2022-105
What one finds interesting while on the move is often useful later on. However, it is often the case that people forget ... [more] IMQ2022-75 IE2022-152 MVE2022-105
pp.284-289
IN, NS
(Joint)
2023-03-02
15:20
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
A comparative study of distributed real-time human tracking methods using multiple cameras
Hikaru Katayama, Hideto Yano, Tomoki Yoshihisa, Hideyuki Shimonishi (Osaka Univ.) NS2022-202
In recent years, there are many surveillance camera in cities, and people-tracking technology using them has been focuse... [more] NS2022-202
pp.201-206
RCC, ITS, WBS 2022-12-14
11:05
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
Vehicle Route Detection Network Using Continuous Roadside Units
Gunhee Cho, Tao Yu, Jin Nakazato, Kei Sakaguchi (TokyoTech) WBS2022-55 ITS2022-31 RCC2022-55
For the purpose of establishing a digital twin society, this paper proposes an object recognition network architecture u... [more] WBS2022-55 ITS2022-31 RCC2022-55
pp.114-119
PRMU 2022-09-14
15:45
Kanagawa
(Primary: On-site, Secondary: Online)
Human Pose Transfer with Reduced Color Transfer by Occlusion for Person Re-Identification
Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-15
Human pose transfer is the task that transforms a person image from the source pose to a given target pose, and is usefu... [more] PRMU2022-15
pp.31-36
PRMU, IPSJ-CVIM 2021-03-04
14:40
Online Online Evaluations on Two-stream Feature-fusion Architecture with Shifting-subclip and Hard Positive Mining for Person Re-identification
Yuki Hiroi, Wataru Kameyama (Waseda Univ.) PRMU2020-77
As a person re-identification technology using spatial-temporal features (video-based Re-ID), we have proposed two-strea... [more] PRMU2020-77
pp.47-52
ISEC 2019-05-17
16:00
Tokyo Kikai-Shinko-Kaikan Bldg. [Invited Talk] Risk of Re-identification from Payment Card Histories in Multiple Domains (from AINA 2018)
Satoshi Ito, Reo Harada, Hiroaki Kikuchi (Meiji Univ.) ISEC2019-9
De-identification is the process of modifying a data set to prevent the identification of individual people from the dat... [more] ISEC2019-9
pp.45-46
PRMU, BioX 2019-03-17
10:00
Tokyo   A Person Re-Identification Method and Top-View System with Privacy Protection
Peng Li, Kouichi Oku, Haiyuan Wu (Wakayama Univ.) BioX2018-33 PRMU2018-137
In this paper, we propose a novel feature descriptor called Color Cumulative Energy (CCE) that be can used for extractin... [more] BioX2018-33 PRMU2018-137
pp.25-30
PRMU, BioX 2019-03-17
10:15
Tokyo   Automatic capture of images for individual re-identification by Top-View RGB-D camera
Kouichi Oku, Peng Li, Haiyuan Wu (Wakayama Univ) BioX2018-34 PRMU2018-138
(To be available after the conference date) [more] BioX2018-34 PRMU2018-138
pp.31-35
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
10:15
Kagoshima Kagoshima University Person Re-identification with Simultaneous Use of Individual and Group Appearance Features
Shingo Inami (Tokyo Univ. of Science), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2018-58 IE2018-142 MVE2018-89
In this paper, we propose a method for person re-identification (ReID).
Conventional methods have utilized appearance f... [more]
IMQ2018-58 IE2018-142 MVE2018-89
pp.201-204
CQ, MVE, IE, IMQ
(Joint) [detail]
2018-03-08
15:55
Okinawa Okinawa Industry Support Center Hierarchical Single Person Re-identification based on Group Detection and Re-identification
Shingo Inami, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2017-44 IE2017-136 MVE2017-86
In this paper, we propose a method for hierarchical single person re-identification based on group re-identification.
W... [more]
IMQ2017-44 IE2017-136 MVE2017-86
pp.107-110
PRMU, CNR 2018-02-19
13:50
Wakayama   Use of Homomorphic Encryption for Secret Person Re-identification
Kazunari Morita, Masaki Harayama, Hiroki Yoshimura, Masashi Nishiyama, Yoshio Iwai (Tottori Univ.) PRMU2017-154 CNR2017-32
In this paper, We propose a person re-identification method during cameras with homomorphic encryption. homomorphic encr... [more] PRMU2017-154 CNR2017-32
pp.53-58
PRMU 2016-10-21
15:10
Miyazaki   Toward Extension of Shinpuhkan Dataset and Release of Related Tools
Yasutomo Kawanishi (Nagoya Univ.), Masaaki Iiyama (Kyoto Univ.), Masayuki Mukunoki (Miyazaki Univ.), Michihiko Minoh (Kyoto Univ.), Hiroshi Murase (Nagoya Univ.) PRMU2016-106
Some public datasets for person re-identification or tracking across cameras are published but there is no dataset which... [more] PRMU2016-106
pp.85-90
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-21
11:30
Osaka   Extracting Co-occurrence Attributes for Person Re-identification
Shota Nakano (Tottori Univ), Tappei Yotsumoto (Melco Power Systems Co.Ltd/Tottori Univ), Hiroki Yoshimuri, Masashi Nishiyama, Yoshio Iwai, Kazunori Sugahara (Tottori Univ) PRMU2015-120 MVE2015-42
We propose a novel method for extracting co-occurrence attributes for person
re-identification. We define co-occurrence... [more]
PRMU2015-120 MVE2015-42
pp.59-64
PRMU, CNR 2014-02-13
16:10
Fukuoka   [Poster Presentation] People Re-identification among Fisheye Cameras
Yuta Usui, Masaki Igarashi, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2013-143 CNR2013-51
In this paper, we propose a method for re-identification considering appearance from multiple directions.
By using fish... [more]
PRMU2013-143 CNR2013-51
pp.101-102
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-24
15:30
Osaka   People Re-identification with Auxiliary Knowledge
Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase (Nagoya Univ.) PRMU2013-114 MVE2013-55
There is an intrinsic issue in multiple-shot person re-identification: only a few training data for learning tasks are
... [more]
PRMU2013-114 MVE2013-55
pp.251-255
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, MI, IE 2013-05-24
11:30
Aichi   Simulation for Designing a Person Retrieval System in Non-overlapping Camera Network
Masayuki Mukunoki, Yamato Okamoto, Michihiko Minoh (Kyoto Univ.) IE2013-11 PRMU2013-4 MI2013-4
The goal of this study is to get knowledge on the relationship among the parameters of a person retrieval system. We ass... [more] IE2013-11 PRMU2013-4 MI2013-4
pp.19-24
PRMU 2012-10-04
09:30
Chiba   People Re-identification Using Local Similarity Estimation
Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase (Nagoya Univ.) PRMU2012-52
In this paper, we propose an efficient and robust approach for multiple-shot people re-identification. To compare the pe... [more] PRMU2012-52
pp.7-11
PRMU 2011-11-25
13:15
Nagasaki   Person Re-identification Algorithms: A Survey
Yoshihisa Ijiri (OMRON), Yasutomo Kawanishi, Michihiko Minoh (Kyoto Univ.), Hiroshi Murase (Nagoya Univ.) PRMU2011-119
In human surveillance, tracking of people is one of essential tasks.
Since a field of view in a camera is limited, hum... [more]
PRMU2011-119
pp.117-124
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