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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 41 [Previous]  /  [Next]  
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
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