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Paper Abstract and Keywords
Presentation 2022-07-15 11:30
Human counting with low-resolution thermal camera from small data sets
Daisuke Aoshima (Osaka Pref. Univ.), Masashi Sugano (Osaka Metro. Univ.) SeMI2022-41
Abstract (in Japanese) (See Japanese page) 
(in English) This study is to estimate the number of people by infrared array sensor. Data obtained from this sensor do not include privacy information. Therefore, the sensor can be installed where it is difficult to install a camera. Additionally, low energy estimation is suitable outdoors where we cannot supply energy. Estimation by complicated model learned deep learning often needs CPU, GPU, and these use much energy. This study aims to estimate the number of people with a low-energy single-board computer. And asses the accuracy score and estimation time. Consequently, the accuracy score is over 80 %, and the error is ±2. The estimation time is about 0.7 seconds. Most of the estimation time is spent converting sensor data to a grayscale image. Furthermore, we estimated the number of people with the same sensor in Arduino, which is a more power-saving microcontroller. In Arduino, the number of people was estimated by the 4-neighborhood labeling process of the binary image. The Estimation time is about 130 ms to 2000 ms.
Keyword (in Japanese) (See Japanese page) 
(in English) infrared array sensor / counting living bodies / power saving / privacy information / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 108, SeMI2022-41, pp. 93-97, July 2022.
Paper # SeMI2022-41 
Date of Issue 2022-07-06 (SeMI) 
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 SeMI2022-41

Conference Information
Committee NS SR RCS SeMI RCC  
Conference Date 2022-07-13 - 2022-07-15 
Place (in Japanese) (See Japanese page) 
Place (in English) The Kanazawa Theatre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc 
Paper Information
Registration To SeMI 
Conference Code 2022-07-NS-SR-RCS-SeMI-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Human counting with low-resolution thermal camera from small data sets 
Sub Title (in English)  
Keyword(1) infrared array sensor  
Keyword(2) counting living bodies  
Keyword(3) power saving  
Keyword(4) privacy information  
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1st Author's Name Daisuke Aoshima  
1st Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
2nd Author's Name Masashi Sugano  
2nd Author's Affiliation Osaka Metropolitan University (Osaka Metro. Univ.)
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Speaker Author-1 
Date Time 2022-07-15 11:30:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2022-41 
Volume (vol) vol.122 
Number (no) no.108 
Page pp.93-97 
#Pages 5 
Date of Issue 2022-07-06 (SeMI) 

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