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Paper Abstract and Keywords
Presentation 2023-03-02 13:00
[Poster Presentation] Improvement of human flow measurement using flor estimation on depth images
Takuya Nagatoshi, Michiharu Niimi (KIT) EMM2022-74
Abstract (in Japanese) (See Japanese page) 
(in English) Measuring human flow to determine the number of people and flow lines in a space is a useful decision-making tool when considering evacuation routes，products，store displays，and so on．
However，existing methods using RGB cameras，such as surveillance cameras have a privacy problem because face and clothing information is acquired at the same time when identifying a person．
In this paper，we propose a system that uses depth information，which represents the distance from the sensor，instead of color information to do both measure human flow and protect privacy．Specifically，we describe a method for detecting the position and number of persons based on depth information．
The proposed method is based on the background subtraction method, which prepares a reference depth image and extracts moving regions from one frame extracted from the video depth image.
Furthermore, we aim to achieve high-precision people flow measurement by combining the following three elements:
segmentation of moving objects using edge information, identification of human areas using floor information, and human tracking using areas where people overlap in the direction of the time axis.
Experiments were also conducted and evaluated in a real space using a program that implements the presented method．
Keyword (in Japanese) (See Japanese page) 
(in English) privacy protection / depth map / people detection / people tracking / measuring human flow / V disparity map / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 412, EMM2022-74, pp. 38-43, March 2023.
Paper # EMM2022-74 
Date of Issue 2023-02-23 (EMM) 
ISSN 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 EMM2022-74

Conference Information
Committee EMM  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukue culture hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMM 
Conference Code 2023-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of human flow measurement using flor estimation on depth images 
Sub Title (in English)  
Keyword(1) privacy protection  
Keyword(2) depth map  
Keyword(3) people detection  
Keyword(4) people tracking  
Keyword(5) measuring human flow  
Keyword(6) V disparity map  
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Keyword(8)  
1st Author's Name Takuya Nagatoshi  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Michiharu Niimi  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2023-03-02 13:00:00 
Presentation Time 75 minutes 
Registration for EMM 
Paper # EMM2022-74 
Volume (vol) vol.122 
Number (no) no.412 
Page pp.38-43 
#Pages 6 
Date of Issue 2023-02-23 (EMM) 

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