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Paper Abstract and Keywords
Presentation 2015-03-20 10:30
A Study on Removal of Temporal Objects from Image Sequences Based on Adaptive Background Selection
Toru Kotsuka, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) BioX2014-66 PRMU2014-186
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, there is a strong demand for street-view databases that do not include temporal objects. However, it is difficult to obtain a street-view image with no temporal object. Therefore, it is needed to develop a technique that can remove temporal objects and restore the background scene in a street-view image. This report proposes a method to remove temporal objects and restore the background scene by fusion of multiple frontal in-vehicle camera image sequences. When we attempt to remove temporal objects by fusion of frontal in-vehicle camera image sequences, frame alignment and spatial alignment should be performed. To solve these problems, this report proposes a frame alignment method robust to the appearance change caused by the difference of vehicle positions, and a spatial alignment method giving dense pixel correspondences. Furthermore, this report proposes a method to reduce image deterioration by selecting the best reference image automatically for image fusion. Experimental results showed that the proposed method could remove temporal objects and restore the background scenes properly.
Keyword (in Japanese) (See Japanese page) 
(in English) In-vehicle camera / removal of moving objects / background restoration / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 521, PRMU2014-186, pp. 165-170, March 2015.
Paper # PRMU2014-186 
Date of Issue 2015-03-12 (BioX, 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 BioX2014-66 PRMU2014-186

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) 
Topics (in English)  
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 Removal of Temporal Objects from Image Sequences Based on Adaptive Background Selection 
Sub Title (in English)  
Keyword(1) In-vehicle camera  
Keyword(2) removal of moving objects  
Keyword(3) background restoration  
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1st Author's Name Toru Kotsuka  
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 10:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # BioX2014-66, PRMU2014-186 
Volume (vol) vol.114 
Number (no) no.520(BioX), no.521(PRMU) 
Page pp.165-170 
#Pages 6 
Date of Issue 2015-03-12 (BioX, PRMU) 

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