Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2014-02-18 13:35 |
Hokkaido |
Hokkaido Univ. |
HOG Feature based Polar Coordinates for Pedestrian Detection Yuta Horikawa, Kousuke Matsushima (KurumeNCT) ITS2013-65 IE2013-130 |
Recently, the number of traffic accidents and injured people has been decreasing. However, the traffic-related pedestria... [more] |
ITS2013-65 IE2013-130 pp.357-362 |
NC, MBE (Joint) |
2013-11-23 10:00 |
Miyagi |
Tohoku University |
Brain-style image recognition algorithm constructed from the human brain activity at higher visual cortices
-- Application to the recognition of occluded pedestrian images -- Hiroyuki Hoshino, Takashi Owaki (TCRDL), Hiroki Kurashige, Kenichi Ueno, Topi Tanskanen, Kang Cheng, Hideyuki Cateau (RIKEN) NC2013-52 |
The purpose of our study is to improve the robustness of image recognition for pedestrians or vehicles occluded by other... [more] |
NC2013-52 pp.31-36 |
ITS |
2013-07-26 15:30 |
Osaka |
Kansai University |
Pedestrian Dead Reckoning for Mobile Phones through Walking and Running Mode Recognition Noriaki Kakiuchi, Shunsuke Kamijo (Univ. of Tokyo) ITS2013-11 |
Pedestrian dead reckoning (PDR) is an effective positioning method in urban canyon environments where the accuracy of GP... [more] |
ITS2013-11 pp.31-36 |
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 |
IN, NS, CS (Joint) |
2012-09-21 09:50 |
Miyagi |
Tohoku Univ. Research Institute of Electrical Communication 2gokan |
Development of the Vehicular Collision Avoidance Support System considering the risk of pedestrian using mobile devices Tatsuya Yoshida, Shunya Umemoto, Tomotaka Wada, Hiromi Okada (Kansai Univ.) IN2012-66 |
We have developed Pedestrian-Vehicular Collision Avoidance Support System(P-VCASS) in order to protect pedestrians from ... [more] |
IN2012-66 pp.87-92 |
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 |
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 |
PRMU, MVE, IPSJ-CVIM [detail] |
2011-01-21 10:25 |
Shiga |
|
Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features Masashi Wakayama, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Yukimasa Tamatsu (DENSO) PRMU2010-179 MVE2010-104 |
This paper proposes a method to quantify the visibility of pedestrians using in-vehicle camera. Since many driver assist... [more] |
PRMU2010-179 MVE2010-104 pp.253-258 |
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 |
HPB (2nd) |
2010-09-09 14:15 |
Nara |
Nara Women's Univ. |
A study about identification of pedestrian by using 3-axis accelerometer Daisuke Sugimori, Takeshi Iwamoto, Michito Matsumoto (Toyama Prefectural Univ.) |
Recently, there are many kinds of certification systems, for example, IC card system and biometric recognition system. H... [more] |
|
SIS |
2010-06-10 15:50 |
Hokkaido |
Abashiri Public Auditorium |
A Study on Efficient Pedestrian Recognition using Markov Chain Monte Carlo Jaehoon Yu (Osaka Univ.), Hiroki Sugano, Ryusuke Miyamoto (NAIST), Takao Onoye (Osaka Univ.) SIS2010-12 |
For object detection including pedestrian detection, sliding window approach is widely used, in which classification usi... [more] |
SIS2010-12 pp.65-70 |
PRMU, HIP |
2010-03-15 14:55 |
Kagoshima |
Kagoshima Univ. |
ESTIMATING FACE DIRECTION FROM WIDE SURVEILLANCE CAMERA Shinji Abe, Masakazu Morimoto, Kensaku Fujii (Univ. of Hyogo) PRMU2009-255 HIP2009-140 |
In this paper, we propose a facial direction estimating system from low resolution facial images captured by surveillanc... [more] |
PRMU2009-255 HIP2009-140 pp.127-132 |
ITE-AIT, IE, ITE-HI, ITE-ME, ITS |
2010-02-16 13:25 |
Hokkaido |
Graduate School of Information and Technology, Hokkaido Univ. |
A Pedestrian Positioning System Using Road Traffic Signs and Landmarks Based on Current Location Recognition Tomoyuki Kojima, Masao Yanagisawa, Tatsuo Ohtsuki, Nozomu Togawa (Waseda Univ.) ITS2009-64 IE2009-158 |
Mobile-GPS is generally used for pedestrian positioning on mobile devices such as mobile phones and PDAs.However mobile-... [more] |
ITS2009-64 IE2009-158 pp.153-158 |
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 14:20 |
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 |
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 |
ITS |
2008-07-28 14:00 |
Aichi |
Nagoya University |
Recognition Rate Investigation of Various Photography Conditions for Pedestrian Positioning Using Road Traffic Signs Tomoyuki Kojima, Nozomu Togawa, Masao Yanagisawa, Tatsuo Ohtsuki (Waseda Univ.) ITS2008-14 |
Pedestrian navigation systems are being developed by the spread of GPS.However GPS can cause approximately 100-meter err... [more] |
ITS2008-14 pp.37-42 |
ITS, IPSJ-ITS, IEE-ITS |
2007-09-19 15:15 |
Tokyo |
Institute of Industrial Science, University of Tokyo |
Positioning Method Using Road Traffic Sign to Correct GPS Error for Pedestrian Navigation Hidetaka Ohira, Nozomu Togawa, Masao Yanagisawa, Tatsuo Ohtsuki (Waseda Univ) ITS2007-28 |
GPS has a significant error caused by multipath, poor satellite reception and so on.
We propose a positioning method th... [more] |
ITS2007-28 pp.27-32 |