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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 58 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2015-03-19
11:00
Kanagawa   A Study on Efficient Pedestrian Detection by Combining CNN and SVM.
Takuma Saito, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) BioX2014-46 PRMU2014-166
Detecting pedestrian in real time is challenging problem for application to road safety. For high-accuracy and high-spee... [more] BioX2014-46 PRMU2014-166
pp.41-46
PRMU, BioX 2015-03-20
11:00
Kanagawa   A study on construction of pedestrian detectors adaptive to driving environment referring to false positive tendency
Yuki Suzuki, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) BioX2014-67 PRMU2014-187
Recently, safety driving assistance systems using an in-vehicle camera have been studied actively. In particular, since ... [more] BioX2014-67 PRMU2014-187
pp.171-176
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
PRMU 2014-10-09
14:30
Chiba   A study on features for pedestrian detection using a low resolution LIDAR
Yoshinori Ichikawa, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Hideaki Misawa, Utsushi Sakai (DENSO) PRMU2014-55
In recent years, LIDAR (LIght Detection And Ranging) is focused as a sensor for recognizing surrounding environment arou... [more] PRMU2014-55
pp.7-12
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
PRMU 2014-06-20
11:00
Tokyo   Pedestrian Counting in a Fixed Camera by Combining Regression with Pass Detection
Yasutomo Kawanishi, Nagisa Shimizu, Masayuki Mukunoki, Michihiko Minoh (Kyoto Univ.) PRMU2014-30
In this paper, we address a problem of pedestrian counting in a surveillance video captured by a fixed camera in a shopp... [more] PRMU2014-30
pp.49-54
PRMU 2014-03-13
15:30
Tokyo   Accuracy improvement of pedestrian detection from in-vehicle camera images based on environment adaptation using location information
Daichi Suzuo, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Hiroyuki Ishida, Yoshiko Kojima (Toyota Central R&D Labs) PRMU2013-187
Recently, pedestrian detection techniques from in-vehicle camera images is being focused. However, since the environment... [more] PRMU2013-187
pp.115-120
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
PRMU, CNR 2014-02-13
16:10
Fukuoka   [Poster Presentation] Pedestrian Detection by Channel Features based on Context
Yohei Takayanagi, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2013-144 CNR2013-52
In this paper, we propose the method of pedestrian detection based on context model between pedestrians and background.
... [more]
PRMU2013-144 CNR2013-52
pp.103-104
PRMU 2013-12-12
09:30
Mie   A preliminary study on the prediction of pedestrian's detectability considering drivers' characteristics
Ryunosuke Tanishige, Daisuke Deguchi (Nagoya Univ.), Keisuke Doman, Yoshito Mekada (Chukyo Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO CORP.) PRMU2013-69
In recent years, advances in pedestrian detection technology have resulted in the development of driving assistance syst... [more] PRMU2013-69
pp.5-10
PRMU 2013-12-13
14:00
Mie   Approaches to Accurate Person Re-identification across Multiple Surveillance Cameras
Yasutomo Kawanishi, Yang Wu, Masayuki Mukunoki, Michihiko Minoh (Kyoto Univ.), Shihong Lao (OSS) PRMU2013-85
We introduce our approaches to person detection, re-identification and person image retrieval developed in our research ... [more] PRMU2013-85
pp.103-108
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
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
PRMU 2013-03-14
11:15
Tokyo   A study on a pedestrian detector adaptive to driving environment using in-vehicle camera and GPS
Daichi Suzuo, Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs.) PRMU2012-190
Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedest... [more] PRMU2012-190
pp.61-66
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
MoNA, AN, USN
(Joint)
2013-01-24
09:25
Miyagi ICHINOBO (Sendai-city) A Study on Crowd Estimation on Railway Platform Using Smartphones
Yuki Maekawa, Yuki Sakai, Akira Uchiyama, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.) MoMuC2012-41
We study an estimation method for crowd detection on a railway platform. Since it is commonly observed that passengers d... [more] MoMuC2012-41
pp.7-12
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
11:00
Tokyo   A preliminary study on a pedestrian detector adaptive to the driving environment using an in-vehicle camera
Daichi Suzuo, Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs., Inc.) PRMU2012-41 IBISML2012-24
Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedest... [more] PRMU2012-41 IBISML2012-24
pp.99-104
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
16:00
Tokyo   A study on a method for high-accuracy detection of a pedestrian holding an umbrella with generative learning
Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs., Inc.) PRMU2012-50 IBISML2012-33
Recently, pedestrian detection from in-vehicle camera images has become an interesting topic for researchers. Especially... [more] PRMU2012-50 IBISML2012-33
pp.191-196
PRMU, HIP 2012-03-29
10:40
Hyogo   Fast Pedestrian detection using LBP-based patterns of oriented edges
Ahmed Boudissa, Joo Kooi Tan, Hyoungseop Kim, Seiji Ishikawa (Kyusyu Inst. of Tech.) PRMU2011-247 HIP2011-75
 [more] PRMU2011-247 HIP2011-75
pp.41-46
ITS, IEE-ITS 2012-03-15
14:50
Tokyo   Exploratory study on social acceptability for driver's cognitive status display -- Simulation of pedestrian view --
Kazunori Shidoji (Kyushu Univ.), Akira Utsumi, Masahiro Tada, Naoki Yamamoto (ATR), Noriyoshi Matsuo (SUBARU) ITS2011-58
We have proposed the system which informs nearby traffic participants about drivers’ cognitive status to prevent traffic... [more] ITS2011-58
pp.23-26
 Results 21 - 40 of 58 [Previous]  /  [Next]  
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