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Paper Abstract and Keywords
Presentation 2010-01-22 11:30
Performance Improvement of Camera Tracking Method Using the Feature Landmark Database
Wataru Toishita, Ryosuke Ichikari, Ryuhei Tenmoku, Fumihisa Shibata, Hideyuki Tamura (Ritsumeikan Univ.) CQ2009-94 PRMU2009-193 SP2009-134 MVE2009-116
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a camera tracking method which can be used in outdoor and indoor environments using natural feature tracking. In conventional methods, much time and human cost are needed to construct landmark database because they require measuring some absolute positions of feature beforehand. Furthermore, tracking methods have considerable problems that they require much computational cost and cannot recover from tracking failures. We propose an automatic method for constructing landmark database to reduce the time for preparation. The key idea of our method is combining use of natural features in the background and a fiducial marker. We adopt the local invariant feature for matching to achieve the improvement of speed and robustness of camera tracking process.
Keyword (in Japanese) (See Japanese page) 
(in English) Camera Tracking / Feature Landmark Database / Local Invariant Feature / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 374, PRMU2009-193, pp. 255-260, Jan. 2010.
Paper # PRMU2009-193 
Date of Issue 2010-01-14 (CQ, PRMU, SP, 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 CQ2009-94 PRMU2009-193 SP2009-134 MVE2009-116

Conference Information
Committee PRMU SP MVE CQ  
Conference Date 2010-01-21 - 2010-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-01-PRMU-SP-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Improvement of Camera Tracking Method Using the Feature Landmark Database 
Sub Title (in English)  
Keyword(1) Camera Tracking  
Keyword(2) Feature Landmark Database  
Keyword(3) Local Invariant Feature  
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1st Author's Name Wataru Toishita  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Ryosuke Ichikari  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Ryuhei Tenmoku  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Fumihisa Shibata  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
5th Author's Name Hideyuki Tamura  
5th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2010-01-22 11:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # CQ2009-94, PRMU2009-193, SP2009-134, MVE2009-116 
Volume (vol) vol.109 
Number (no) no.373(CQ), no.374(PRMU), no.375(SP), no.376(MVE) 
Page pp.255-260 
#Pages 6 
Date of Issue 2010-01-14 (CQ, PRMU, SP, MVE) 

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