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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
09:36
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
[Short Paper] Fine-Grained Pedestrian Attribute Recognition with External Data
Ruka Murai (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jiaqing Liu, Jien Kato (Ritsumeikan Univ.) PRMU2023-56
In traffic accidents, pedestrians constitute the largest proportion of fatalities. To reduce pedestrian fatalities in th... [more] PRMU2023-56
pp.31-34
IMQ 2022-12-16
15:55
Chiba Nishi-Chiba Campus, Chiba Univ. Improving Pedestrian Attribute Recognition with Spatial Attention and Attribute Correlation
Yichen Chen, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2022-18
In the field of video surveillance, pedestrian attribute recognition is a focus technical thema of study. To predict cer... [more] IMQ2022-18
pp.16-21
RCC, ITS, WBS 2022-12-14
15:35
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
A study on a pedestrian-vehicle collision avoidance support system for pedestrians in blind spots
Yukito Kawashita, Hikaru Shimada, Tomotaka Wada (Kansai Univ) WBS2022-62 ITS2022-38 RCC2022-62
Our research focuses on pedestrian-vehicle collision avoidance support systems using wireless communication. In particul... [more] WBS2022-62 ITS2022-38 RCC2022-62
pp.150-155
SR 2022-11-08
09:30
Fukuoka Fukuoka University
(Primary: On-site, Secondary: Online)
Adaptive Transmission Interval Control Method Considering Power Consumption and Reliability for Pedestrian-to-Infrastructure Communications
Takuya Yoshimura, Atsuki Mukoda, Oki Noriyuki, Ayumu Ueda, Takeo Fujii (UEC) SR2022-57
In order to put fully automated driving into practice, ensuring the safety of pedestrians is important. Research of pede... [more] SR2022-57
pp.64-70
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS 2021-05-28
11:50
Online Online Estimation of moving in stairs by partial introduction of training data for supporting indoor PDR
Chisaki Takahashi, Hiroaki Morino (SIT) SeMI2021-9
Research focusing on PDR (Pedestrian Dead Reckoning) is being conducted as it would be useful to support rescue activiti... [more] SeMI2021-9
pp.45-50
PRMU, BioX 2019-03-18
16:10
Tokyo   [Invited Talk] Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018)
Yasushi Makihara, Gakuto Ogi, Yasushi Yagi (Osaka Univ.) BioX2018-66 PRMU2018-170
In the gait recognition community, silhouette-based gait representations such as gait energy image have been widely empl... [more] BioX2018-66 PRMU2018-170
p.207
HPB
(2nd)
2018-02-21
11:35
Tokyo   A Basic Measurement of Wireless Communication Quality according to Distance of 2.4 GHz-band Radio Sensor Nodes
Ren Adachi, Kouya Ishizawa, Youta Suzuki, Naoki Nonaka, Masayuki Iwai (TDU)
Among minor traffic accidents in recent years, the number of the most casualties is the elementary school students from ... [more]
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Integration the PDR to camera-based location estimation and a study of its sound navigation interface
Kazuho Kamasaka, Itaru Kitahara (Tsukuba Univ.), Ryosuke Ichikari, Masakatsu Kourogi, Takeshi Kurata (AIST), Yoshinari Kameda (Tsukuba Univ.)
We are proposed a location estimation method only using a camera that supports walking out of visually impaired people. ... [more]
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
SANE, SAT
(Joint)
2017-02-23
13:40
Chiba Katsuura Hotel Mikazuki Study on very short time feature quantities for the pedestrian recognition with cars using Multiple Frequency Stepped Radar with Complementary Phase Code and machine learning algorisms
Maho Nakamura, Kazuhiro Watanabe, Manabu Akita, Masato Watanabe, Takayuki Inaba (UEC) SANE2016-119
We report about a study on very short time feature quantities for the pedestrian recognition with cars using Multiple Fr... [more] SANE2016-119
pp.7-12
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]
ITS, IEE-ITS 2016-03-10
11:00
Kyoto Kyoto Univ. Verification of the risk of "texting while walking" by the gaze measurement
Fumiaki Obayashi, Ryosuke Sugie, Kou Kin, Kazuhiro Kozuka (AUT) ITS2015-87
With the rapid spread of smartphones, the state using the smartphone during walking (“texing while walking”) came to be ... [more] ITS2015-87
pp.17-21
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-22
09:30
Osaka   A study on the detection of a pedestrian holding an umbrella with a Selective DPM
Yuto Shimbo, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2015-123 MVE2015-45
In recent years, pedestrian detection from an in-vehicle camera has been attracting interest.
However, in the case of a... [more]
PRMU2015-123 MVE2015-45
pp.163-168
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
NLP, CAS 2015-10-06
11:25
Hiroshima Aster Plaza A Study for a Pedestrian Recognition System that Uses Color Region Features
Yujiro Matsuda, Lin Meng, Masahiro Fukui (Ritsumeikan Univ.) CAS2015-38 NLP2015-99
In recent years, high accuracy and high-speed pedestrian recognition system is strongly requested as the demand of the a... [more] CAS2015-38 NLP2015-99
pp.91-96
WIT, SP, ASJ-H, PRMU 2015-06-18
16:25
Niigata   Pedestrian's Inattention Estimation based on Recognition of Texting While Walking from In-Vehicle Camera Images
Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Hironobu Fujiyoshi (Chubu Univ.) PRMU2015-46 SP2015-15 WIT2015-15
Since there is a high chance for a pedestrian of being hit by a car by inattentively jumping out into the street, it is ... [more] PRMU2015-46 SP2015-15 WIT2015-15
pp.83-88
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
13:30
Hokkaido Hokkaido Univ. Image Feature Descriptor of Rotation-Invariant Gradient Orientation for Pedestrian Detection under Changes of Posture
Yuta Horikawa, Kousuke Matsushima (Kurume NCT) ITS2014-42 IE2014-69
Pedestrian recognition is an important subject of research in automotive safe driving support technology. Combining imag... [more] ITS2014-42 IE2014-69
pp.53-58
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
13:45
Hokkaido Hokkaido Univ. Pedestrian Recognition using Local Interpolation in Subcategory
Yuta Yamasaki, Kousuke Matsushima (Kurume NCT) ITS2014-43 IE2014-70
This paper presents a subcategory method for pedestrian recognition. Boosting is performed to test data using study data... [more] ITS2014-43 IE2014-70
pp.59-64
IE, EMM, LOIS, IEE-CMN, ITE-ME [detail] 2014-09-18
17:35
Kochi   [Invited Talk] Pedestrian Detection with an In-Vehicle Camera
Guoyue Chen, Xingguo Zhang, Kazuki Saruta, Yuki Terata (Akita Prefectural Univ.) LOIS2014-24 IE2014-37 EMM2014-54
Every year almost 1 million people are killed in traffic crashes. Over the past twenty years, research has moved toward ... [more] LOIS2014-24 IE2014-37 EMM2014-54
p.59
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2014-02-18
13:20
Hokkaido Hokkaido Univ. Pedestrian Recognition by Boosting based on the Sub-category Method
Yuta Yamasaki, Kousuke Matsushima (Kurume-nct) ITS2013-64 IE2013-129
This paper presents a subcategory method for pedestrian recognition.Boosting is performed to test data using study data.... [more] ITS2013-64 IE2013-129
pp.351-355
 Results 1 - 20 of 41  /  [Next]  
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