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Paper Abstract and Keywords
Presentation 2017-01-19 15:30
Identifiation PDR sensor user with person taken by RGB-D camera utilizing double support phase of gait
Yoshiki Hashimoto (Kyushu Univ.), Masaki Onishi, Masakatsu Kourogi, Takeshi Kurata (AIST), Atsushi Shimada (Kyushu Univ.), Daisaku Arita (Univ. of Nagasaki), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2016-133 MVE2016-24
Abstract (in Japanese) (See Japanese page) 
(in English) An indoor pedestrian position estimation method is one of the important basic techniques to make novel human-centered service. In this paper, we propose a human identification method using RGB-D camera and Pedestrian Dead-Reckoning (PDR) device in the indoor environment. Human walk has a double support phase in which head and body moves slightly. Therefore we get a time and a position of double support phase from RGB-D camera and PDR devices, and then identify the PDR users with a person taken by RGB-D camera. We performed experiments on platoon walk and free walk using three cameras and five PDR devices. Resultantly, validity of the proposed method is shown experimentally.
Keyword (in Japanese) (See Japanese page) 
(in English) RGB-D camera / Pedestrian Dead-Reckoning / Sensor fusion / Pedestrian identification / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 411, PRMU2016-133, pp. 129-134, Jan. 2017.
Paper # PRMU2016-133 
Date of Issue 2017-01-12 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 PRMU2016-133 MVE2016-24

Conference Information
Committee PRMU IPSJ-CVIM MVE  
Conference Date 2017-01-19 - 2017-01-20 
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 2017-01-PRMU-CVIM-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Identifiation PDR sensor user with person taken by RGB-D camera utilizing double support phase of gait 
Sub Title (in English)  
Keyword(1) RGB-D camera  
Keyword(2) Pedestrian Dead-Reckoning  
Keyword(3) Sensor fusion  
Keyword(4) Pedestrian identification  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yoshiki Hashimoto  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Masaki Onishi  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Masakatsu Kourogi  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Takeshi Kurata  
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
5th Author's Name Atsushi Shimada  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
6th Author's Name Daisaku Arita  
6th Author's Affiliation University of Nagasaki (Univ. of Nagasaki)
7th Author's Name Rin-ichiro Taniguchi  
7th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2017-01-19 15:30:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2016-133, MVE2016-24 
Volume (vol) vol.116 
Number (no) no.411(PRMU), no.412(MVE) 
Page pp.129-134 
#Pages 6 
Date of Issue 2017-01-12 (PRMU, MVE) 

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