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Paper Abstract and Keywords
Presentation 2008-12-19 10:00
Cascaded Traffic Sign Detector Using Generative Learning Considering Color Variance
Keisuke Doman, Daisuke Deguchi (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Yoshito Mekada (Chukyo Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2008-170
Abstract (in Japanese) (See Japanese page) 
(in English) A robust and real-time detection of traffic signs is important to support safe-driving.
Viola et al. have proposed a robust and extremely rapid object detection method based on cascaded classifiers.
In this paper, we propose a boosted cascade method for traffic sign detection using a generative learning technique considering color variance.
The advantage of our method is that it greatly reduces the cost of collecting a massive number of traffic sign images for learning.
Furthermore, by considering the use of color models such as discoloration, reflection and shadow, in the learning process, we can obtain several effective color features and then use them for detecting traffic signs.
Experimental results of detecting traffic signs showed the effectiveness of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative Learning Method / Cascaded Classifiers / Color Variance / Sign Detection / Car-mounted Camera / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 363, PRMU2008-170, pp. 135-140, Dec. 2008.
Paper # PRMU2008-170 
Date of Issue 2008-12-11 (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 PRMU2008-170

Conference Information
Committee PRMU  
Conference Date 2008-12-18 - 2008-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2008-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Cascaded Traffic Sign Detector Using Generative Learning Considering Color Variance 
Sub Title (in English)  
Keyword(1) Generative Learning Method  
Keyword(2) Cascaded Classifiers  
Keyword(3) Color Variance  
Keyword(4) Sign Detection  
Keyword(5) Car-mounted Camera  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Keisuke Doman  
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 Tomokazu Takahashi  
3rd Author's Affiliation Gifu Shotoku Gakuen University (Gifu Shotoku Gakuen Univ.)
4th Author's Name Yoshito Mekada  
4th Author's Affiliation Chukyo University (Chukyo Univ.)
5th Author's Name Ichiro Ide  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Hiroshi Murase  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2008-12-19 10:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2008-170 
Volume (vol) vol.108 
Number (no) no.363 
Page pp.135-140 
#Pages 6 
Date of Issue 2008-12-11 (PRMU) 

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