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Paper Abstract and Keywords
Presentation 2024-05-17 09:00
A basic study on human re-identification using 3D point cloud data focusing on body shape characteristics
Shintaro Otsudo, Hiroaki Morino (SIT) SeMI2024-5
Abstract (in Japanese) (See Japanese page) 
(in English) At indoor events, it is useful to be able to analyze the paths taken by people in order to design appropriate booth layouts. However, the analysis of the movement paths of individual persons has generally been performed using cameras, but from the standpoint of privacy protection, it is necessary to perform processing to prevent the identification of individuals. As a technology to solve such problems, we focused on the tracking of a person's movement path using LiDAR. In order to estimate the path taken by a person in a situation where the trajectory is not sufficiently available, this study presents a basic study of features and a classification decision method for identifying the same person from point cloud data. For the classification decision method, unsupervised learning was examined, in which features extracted from point cloud data of a person are used as feature vectors, and the Manhattan distance between the feature vectors is used as the similarity to identify the same person. The precision and recall rates were 0.56 and 0.41, respectively. The challenge is to achieve sufficient noise reduction from the extracted point cloud of persons.
Keyword (in Japanese) (See Japanese page) 
(in English) unsupervised learning / Re-Id / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 22, SeMI2024-5, pp. 20-24, May 2024.
Paper # SeMI2024-5 
Date of Issue 2024-05-08 (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)
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Conference Information
Committee SeMI IPSJ-ITS IPSJ-MBL IPSJ-DPS  
Conference Date 2024-05-15 - 2024-05-17 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2024-05-SeMI-ITS-MBL-DPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A basic study on human re-identification using 3D point cloud data focusing on body shape characteristics 
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Keyword(1) unsupervised learning  
Keyword(2) Re-Id  
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1st Author's Name Shintaro Otsudo  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Hiroaki Morino  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2024-05-17 09:00:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2024-5 
Volume (vol) vol.124 
Number (no) no.22 
Page pp.20-24 
#Pages 5 
Date of Issue 2024-05-08 (SeMI) 

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