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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-20 11:10 |
Osaka | Detecting Pedestrians in Night View using HOG and NFTG with Geometric Constraints Hiroki Maebuchi, Haiyuan Wu, Toshikazu Wada (Wakayama Univ)  PRMU2011-175 MVE2011-84 |
This paper proposes a method for detecting pedestrians on the road in night view using HOG, NFTG and the geometric const... [more] | PRMU2011-175 MVE2011-84 pp.291-296 |
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| PRMU, MI, IE | 2011-05-20 13:00 |
Aichi | A study on a method for stable pedestrian detection against pose changes with generative learning Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Kunihiro Gotou, Yoshikatsu Kimura, Takashi Naito (Toyota Central R&D Labs., Inc.) IE2011-31 PRMU2011-23 MI2011-23 |
Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedes... [more] |
IE2011-31 PRMU2011-23 MI2011-23 pp.127-132 |
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| 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 |
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| SIS | 2010-06-10 15:30 |
Hokkaido | Abashiri Public Auditorium | GPU Implementation of CoHOG-based Pedestrian Detection Hiroki Sugano, Ryusuke Miyamoto (NAIST) SIS2010-11 |
Pedestrian detection from visual images, which is used by driver assistance or video surveillance, is a recent challen... [more] |
SIS2010-11 pp.59-64 |
| 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 |
| PRMU | 2009-12-18 14:30 |
Tochigi | Fujihara Cultural Center | A Hardware-Friendly Object Detection Algorithm Based on Variable-Block-Size Edge Histograms Takashi Miyoshi, Tadashi Shibata (Univ. of Tokyo.) PRMU2009-151 |
The paper presents an object localization algorithm based on the directional-edge information and discusses its hardware... [more] | PRMU2009-151 pp.71-76 |
| ITE-HI, ITE-AIT, ITE-ME, IE, ITS | 2008-02-19 13:45 |
Hokkaido | Graduate School of Information Science and Technology Hokkaido Univ | A note on improvement of human detection based on multiple detectors Yosuke Kaga, Miki Haseyama (Hokkaido Univ.) ITS2007-71 IE2007-254 |
This paper presents a human detection method based on multiple detectors. In the proposed method, a human detection resu... [more] | ITS2007-71 IE2007-254 pp.51-54 |
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