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Paper Abstract and Keywords
Presentation 2014-12-04 15:40
human detection from low quality Aerial images using Deep Learning and Online Learning
Takayuki Fujimura, Daisuke Sugimura (TUS), Fumie Ono, Ryu Miura (NICT), Takayuki Hamamoto (TUS) CS2014-75 IE2014-61
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a method for human detection from Aerial Images taken by Unmanned Aerial Vehicle (UAV). In that situations, there has crucial difficulties in human detection such as: heavy noise, motion blur, low resolution human regions, wide variations of negative samples and etc. These problems cause the degradations in human detection. In order to address these problems that the previous works cannot deal with, we exploit both a Deep Learning and an Online Learning. Effective method in our approach is 1)using Deep Learning with MS-HOG to improve the performance, 2) dealing with the wide variations of negative samples in Online Learning. Experimental results show the effective of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) UAV / Human detection / Deep Learning / Online Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 350, IE2014-61, pp. 31-34, Dec. 2014.
Paper # IE2014-61 
Date of Issue 2014-11-27 (CS, IE) 
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 CS2014-75 IE2014-61

Conference Information
Committee IPSJ-AVM CS IE ITE-BCT  
Conference Date 2014-12-04 - 2014-12-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Coding, Streaming, etc. 
Paper Information
Registration To IE 
Conference Code 2014-12-AVM-CS-IE-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) human detection from low quality Aerial images using Deep Learning and Online Learning 
Sub Title (in English)  
Keyword(1) UAV  
Keyword(2) Human detection  
Keyword(3) Deep Learning  
Keyword(4) Online Learning  
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1st Author's Name Takayuki Fujimura  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Daisuke Sugimura  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Fumie Ono  
3rd Author's Affiliation National Institute of Information and Communications Technology (NICT)
4th Author's Name Ryu Miura  
4th Author's Affiliation National Institute of Information and Communications Technology (NICT)
5th Author's Name Takayuki Hamamoto  
5th Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2014-12-04 15:40:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # CS2014-75, IE2014-61 
Volume (vol) vol.114 
Number (no) no.349(CS), no.350(IE) 
Page pp.31-34 
#Pages 4 
Date of Issue 2014-11-27 (CS, IE) 

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