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Paper Abstract and Keywords
Presentation 2016-06-14 10:00
A Study on the Detection of Wheelchair Users Combined with Parts Tracking
Ukyo Tanikawa, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Ryo Kawai (NEC), Toshikazu Sekiya (ALSOK) PRMU2016-46 SP2016-12 WIT2016-12
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, to support the self-support of wheelchair users, there has been an increasing demand for automatic detection of wheelchair users from a surveillance video.
In a crowded scene where many pedestrians exist around, it is difficult to detect them because of occlusion by the pedestrians.
In this report, we report on a detection method of wheelchair users robust to the occlusion.
In case a detector cannot detect them, the proposed method estimates their location by combining it with parts tracking based on positional relation among parts and their trajectories.
This improves their detection accuracy in a crowded scene.
As a result of an experiment, the detection of wheelchair users with the proposed method achieved the highest accuracy in crowded scenes, compared with conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Object detection / wheelchair user / crowded scene / parts tracking / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 89, PRMU2016-46, pp. 65-70, June 2016.
Paper # PRMU2016-46 
Date of Issue 2016-06-06 (PRMU, SP, WIT) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 PRMU2016-46 SP2016-12 WIT2016-12

Conference Information
Committee PRMU SP WIT ASJ-H  
Conference Date 2016-06-13 - 2016-06-14 
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 2016-06-PRMU-SP-WIT-H 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on the Detection of Wheelchair Users Combined with Parts Tracking 
Sub Title (in English)  
Keyword(1) Object detection  
Keyword(2) wheelchair user  
Keyword(3) crowded scene  
Keyword(4) parts tracking  
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1st Author's Name Ukyo Tanikawa  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yasutomo Kawanishi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Daisuke Deguchi  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Ichiro Ide  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Hiroshi Murase  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Ryo Kawai  
6th Author's Affiliation NEC Corporation (NEC)
7th Author's Name Toshikazu Sekiya  
7th Author's Affiliation Sohgo Security Services Co., Ltd. (ALSOK)
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Speaker
Date Time 2016-06-14 10:00:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-PRMU2016-46,IEICE-SP2016-12,IEICE-WIT2016-12 
Volume (vol) IEICE-116 
Number (no) no.89(PRMU), no.90(SP), no.91(WIT) 
Page pp.65-70 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2016-06-06,IEICE-SP-2016-06-06,IEICE-WIT-2016-06-06 


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