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Paper Abstract and Keywords
Presentation 2014-03-13 15:00
Proposal of the weighted voting type co-training method for the construction of an accurate traffic sign detector
Yuji Kojima, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2013-186
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, traffic sign detection and recognition from in-vehicle camera images have been widely studied.
However, a traffic sign detector requires a large number of training samples of traffic signs with various appearances to obtain higher performance.
The main contributions of this paper are the extension of the Co-training method by introducing a weighted voting scheme, and the introduction of this framework for improving the accuracy of traffic sign detection.
By using this weighted voting type Co-training, the proposed method gathers traffic sign samples automatically and accurately, which improves the performance of the traffic sign detector.
Experimental results showed that the proposed method improved the accuracy of the detector with a maximum F-measure of 0.841 from 0.628.
Keyword (in Japanese) (See Japanese page) 
(in English) ITS / traffic sign detector / Co-training / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 493, PRMU2013-186, pp. 109-114, March 2014.
Paper # PRMU2013-186 
Date of Issue 2014-03-06 (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 PRMU2013-186

Conference Information
Committee PRMU  
Conference Date 2014-03-13 - 2014-03-14 
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 2014-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of the weighted voting type co-training method for the construction of an accurate traffic sign detector 
Sub Title (in English)  
Keyword(1) ITS  
Keyword(2) traffic sign detector  
Keyword(3) Co-training  
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1st Author's Name Yuji Kojima  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Daisuke Deguchi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Ichiro Ide  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Hiroshi Murase  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2014-03-13 15:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-186 
Volume (vol) vol.113 
Number (no) no.493 
Page pp.109-114 
#Pages 6 
Date of Issue 2014-03-06 (PRMU) 

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