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Paper Abstract and Keywords
Presentation 2015-03-20 11:00
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
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, safety driving assistance systems using an in-vehicle camera have been studied actively. In particular, since pedestrian detection by image processing is an important task, various methods have been proposed. In real environment, appearance of pedestrians varies largely due to the difference of driving environments such as weather condition, time, driving scene, etc. Therefore, it is difficult to handle all driving scene by a single detector. This report focuses on the false detection tendency according to various driving environments, and constructs pedestrian detectors adaptive to each environment. By applying a conventional pedestrian detector to an in-vehicle camera image, false detections speci c to each driving environment are obtained. By referring to thesefalse detections, the proposed method constructs pedestrian detectors adaptive to a driving environment, and they
are used for improving the detection accuracy. We conducted experiments using a public dataset to evaluate the proposed method. As a result, accuracy of the proposed method was improved in comparison with a conventional pedestrian detector.
Keyword (in Japanese) (See Japanese page) 
(in English) adaptive learning / false positive tendency / pedestrian detection. / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 521, PRMU2014-187, pp. 171-176, March 2015.
Paper # PRMU2014-187 
Date of Issue 2015-03-12 (BioX, PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee PRMU BioX  
Conference Date 2015-03-19 - 2015-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2015-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on construction of pedestrian detectors adaptive to driving environment referring to false positive tendency 
Sub Title (in English)  
Keyword(1) adaptive learning  
Keyword(2) false positive tendency  
Keyword(3) pedestrian detection.  
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1st Author's Name Yuki Suzuki  
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 2015-03-20 11:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # BioX2014-67, PRMU2014-187 
Volume (vol) vol.114 
Number (no) no.520(BioX), no.521(PRMU) 
Page pp.171-176 
#Pages
Date of Issue 2015-03-12 (BioX, PRMU) 


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