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Paper Abstract and Keywords
Presentation 2021-07-14 13:50
Pedestrian Radar Map System using 360-degree camera
Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Heming Sun, Jiro Katto (Waseda Univ.) SeMI2021-18
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the demand for urban monitoring using ICT technology has increased. Especially, for achieving a full barrier-free city and with the spread of COVID-19 infection, it is mandatory to construct “Pedestrian space network data”. In this paper, toward constructing the pedestrian space network data easily and automatically, we propose a pedestrian radar mapping system for estimating the density of pedestrians on streets and sidewalks. The proposed system collects 360-degree images using e-bikes and can visualize pedestrians’ positions and pedestrians’ density as a radar map and on a geographic map. We develop a prototype system and validate the system performance by carrying out a field experiment.
Keyword (in Japanese) (See Japanese page) 
(in English) 360-degree video / Human detection / Pedestrian density estimation / Prototype system / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 105, SeMI2021-18, pp. 29-34, July 2021.
Paper # SeMI2021-18 
Date of Issue 2021-07-07 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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 SeMI2021-18

Conference Information
Committee RCS SR NS SeMI RCC  
Conference Date 2021-07-14 - 2021-07-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication and Network Technology of the AI Age, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc 
Paper Information
Registration To SeMI 
Conference Code 2021-07-RCS-SR-NS-SeMI-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pedestrian Radar Map System using 360-degree camera 
Sub Title (in English)  
Keyword(1) 360-degree video  
Keyword(2) Human detection  
Keyword(3) Pedestrian density estimation  
Keyword(4) Prototype system  
1st Author's Name Kazuki Murayama  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Kenji Kanai  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Masaru Takeuchi  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Heming Sun  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Jiro Katto  
5th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2021-07-14 13:50:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2021-18 
Volume (vol) vol.121 
Number (no) no.105 
Page pp.29-34 
Date of Issue 2021-07-07 (SeMI) 

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