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Paper Abstract and Keywords
Presentation 2013-03-14 11:15
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
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedestrians accurately due to the variety of their appearances caused by various environmental factors. To deal with changes of driving environment, most existing appearance-based methods require the manual preparation of many pedestrian and non-pedestrian images. However, it is difficult to prepare training images considering all possible environmental factors. To tackle this problem, we propose a method to construct a pedestrian detector that
is adaptive to driving environment by collecting non-pedestrian images automatically from in-vehicle camera video. The proposed method classifies driving scenes and then collects pedestrian images for each scene accompanied with GPS positions. We confirmed the effectiveness of the method compared to existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Pedestrian detection / Adaptive detector / ITS / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 495, PRMU2012-190, pp. 61-66, March 2013.
Paper # PRMU2012-190 
Date of Issue 2013-03-07 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2012-190

Conference Information
Committee PRMU  
Conference Date 2013-03-14 - 2013-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2013-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on a pedestrian detector adaptive to driving environment using in-vehicle camera and GPS 
Sub Title (in English)  
Keyword(1) Pedestrian detection  
Keyword(2) Adaptive detector  
Keyword(3) ITS  
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1st Author's Name Daichi Suzuo  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Hidefumi Yoshida  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Daisuke Deguchi  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Ichiro Ide  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Hiroshi Murase  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Takashi Machida  
6th Author's Affiliation Toyota Central Research and Development Laboratories, Inc. (Toyota Central R&D Labs.)
7th Author's Name Yoshiko Kojima  
7th Author's Affiliation Toyota Central Research and Development Laboratories, Inc. (Toyota Central R&D Labs.)
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Speaker Author-1 
Date Time 2013-03-14 11:15:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-190 
Volume (vol) vol.112 
Number (no) no.495 
Page pp.61-66 
#Pages 6 
Date of Issue 2013-03-07 (PRMU) 

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