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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| 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 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 10:00 |
Tottori | Reusing pre-trained classifiers as feature descriptors for adaptation to general dataset Takashi Bando, Kazuhito Takenaka, Tehrani Hossein, Utsushi Sakai (DENSO) PRMU2013-46 IBISML2013-26 |
Recently, various advanced driver assistance systems have been developed, e.g., collision-warning system that detect ped... [more] | PRMU2013-46 IBISML2013-26 pp.155-160 |
|
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-19 09:20 |
Hokkaido | Hokkaido Univ. | Pedestrian Recognition System using Modified GLAC Feature Shoji Watanabe, Kousuke Matsushima (National College of Tech.) ITS2012-44 IE2012-124 |
The number of pedestrian deaths are more than 35%, and it is the main component of traffic accidents. So, pedestrian de... [more] |
ITS2012-44 IE2012-124 pp.257-262 |
| ITS, IEE-ITS | 2011-03-11 14:40 |
Kyoto | A System Which Forecasts the Spatio-Temporal Distribution of Pedestrians
-- On Feasibility Study -- Mikio Sasaki (DENSO) ITS2010-76 |
A system which forecasts the appearance of pedestrians within the specified area and the specified time is proposed. Thi... [more] | ITS2010-76 pp.53-58 |
|
| 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 |
|
| ITS, WBS (Joint) |
2009-12-09 09:00 |
Kumamoto | Kumamoto University | Pedestrian Recognition Based on Boosting using Combination of Feature Detector Kousuke Matsushima (Kurume Nat Coll of Tech.), Keiichi Uchimura (Kumamoto Univ.), Shoji Esaki (Kurume Nat Coll of Tech.) ITS2009-28 |
Pedestrian-vehicle accidents account for about one third of the total automotive related fatality and injury. So the inc... [more] | ITS2009-28 pp.61-66 |
| SIS | 2009-06-11 14:40 |
Okinawa | Hardware Implementation of HOG feature Extraction for Real-time Pedestrian Recognition Ryoji Kadota (Kyoto Univ.), Yukihiro Nakamura (Ritsumeikan Univ.), Ryusuke Miyamoto (Nara Inst. of Sci and Tech.) SIS2009-8 |
Pedestrian recognition is one of the most challenging problems in the field of computer vision. In this study, fea... [more] |
SIS2009-8 pp.43-48 |
|
| IE, ITS, ITE-HI, ITE-ME, ITE-AIT | 2009-02-04 15:20 |
Hokkaido | Graduate School of Information Science and Technology Hokkaido Univ | Vision-based Pedestrian Recognition using AdaBoost Kousuke Matsushima, Kohei Senba (Kurume National College of Tech.), Keiichi Uchimura (Kumamoto Univ.), Shoji Esaki (Kurume National College of Tech.) ITS2008-51 IE2008-221 |
Pedestrian-vehicle accidents account for about one third of the total automotive related fatality and injury. So the inc... [more] | ITS2008-51 IE2008-221 pp.97-102 |
| 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 |
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