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Paper Abstract and Keywords
Presentation 2015-03-04 16:00
Computer Vision Based Analysis of Route Video for Pedestrian Navigation
Yusuke Tarumi, Yoshinari Kameda, Yuichi Ohta (Univ. of Tsukuba) IMQ2014-66 IE2014-127 MVE2014-114
Abstract (in Japanese) (See Japanese page) 
(in English) We are working on walker navigation by using a camera only. Location is estimated by taking a snapshot on route. We estimate location of the snapshot by retrieving prerecorded route video. Before performing the location estimation of the snapshot, we make the database of image key-features in the pre-recoded route video. The most similar video frame is selected by counting the number of key-pairs between the snapshot and every frame of the pre-recoded route video, and the frame that gives the largest number of key-pairs indicates the location of the snapshot. In this paper, we have taken videos in various camera motions along a navigation path and we con firmed the performance of image retrieval of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) local feature / photo retrieval / position estimation / pedestrian navigation / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 487, MVE2014-114, pp. 187-192, March 2015.
Paper # MVE2014-114 
Date of Issue 2015-02-24 (IMQ, IE, MVE) 
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 IMQ2014-66 IE2014-127 MVE2014-114

Conference Information
Committee CQ IMQ MVE IE  
Conference Date 2015-03-03 - 2015-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Seikei Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2015-03-CQ-IMQ-MVE-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computer Vision Based Analysis of Route Video for Pedestrian Navigation 
Sub Title (in English)  
Keyword(1) local feature  
Keyword(2) photo retrieval  
Keyword(3) position estimation  
Keyword(4) pedestrian navigation  
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1st Author's Name Yusuke Tarumi  
1st Author's Affiliation University of Tshukuba (Univ. of Tsukuba)
2nd Author's Name Yoshinari Kameda  
2nd Author's Affiliation University of Tshukuba (Univ. of Tsukuba)
3rd Author's Name Yuichi Ohta  
3rd Author's Affiliation University of Tshukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2015-03-04 16:00:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # IMQ2014-66, IE2014-127, MVE2014-114 
Volume (vol) vol.114 
Number (no) no.485(IMQ), no.486(IE), no.487(MVE) 
Page pp.187-192 
#Pages 6 
Date of Issue 2015-02-24 (IMQ, IE, MVE) 

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