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Paper Abstract and Keywords
Presentation 2016-03-25 14:00
Worker Detection in Office Environment with Multi-weak Detectors for Human Shapes
Yuichiro Fujimoto, Masano Nakayama, Hitomi Yokoyama, Ikuko Shimizu, Kinya Fujita (TUAT) BioX2015-63 PRMU2015-186
Abstract (in Japanese) (See Japanese page) 
(in English) It is expected that auto classification of workers' behavior and communication analysis among workers leads to improvement of work efficiency in office environment. As a first step of that, a method for human detection which is capable of situations with severe self-occlusion and the variance postures of workers. In this research, we propose the system which integrates depth information of multiple depth sensors mounted on the ceiling. We also propose the human detection method with multiple weak classifiers related with approximate shapes of human. We report that approximate 95 $%$ of the accuracy was achieved with our method for 24 hours office data.
Keyword (in Japanese) (See Japanese page) 
(in English) human detection / depth sensor / office environment / shape descriptor / weak classifier / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 517, PRMU2015-186, pp. 131-136, March 2016.
Paper # PRMU2015-186 
Date of Issue 2016-03-17 (BioX, PRMU) 
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 BioX2015-63 PRMU2015-186

Conference Information
Committee PRMU BioX  
Conference Date 2016-03-24 - 2016-03-25 
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 2016-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Worker Detection in Office Environment with Multi-weak Detectors for Human Shapes 
Sub Title (in English)  
Keyword(1) human detection  
Keyword(2) depth sensor  
Keyword(3) office environment  
Keyword(4) shape descriptor  
Keyword(5) weak classifier  
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1st Author's Name Yuichiro Fujimoto  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Masano Nakayama  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Hitomi Yokoyama  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
4th Author's Name Ikuko Shimizu  
4th Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
5th Author's Name Kinya Fujita  
5th Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
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Speaker
Date Time 2016-03-25 14:00:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-BioX2015-63,IEICE-PRMU2015-186 
Volume (vol) IEICE-115 
Number (no) no.516(BioX), no.517(PRMU) 
Page pp.131-136 
#Pages IEICE-6 
Date of Issue IEICE-BioX-2016-03-17,IEICE-PRMU-2016-03-17 


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