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Paper Abstract and Keywords
Presentation 2026-03-24 14:20
Investigation of Worker Tracking Methods Using Omnidirectional Camera Images
Shozo Sato, Yusaku Asai (IPUT Nagoya) PRMU2025-49
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we investigated worker tracking methods in a factory environment using an omnidirectional (fisheye) camera capable of capturing a wide area simultaneously with a single device. The RAPiD model was employed for human detection, and StrongSORT and ResNet50 were examined for person tracking based on the detection results. A comparative evaluation of tracking performance was conducted using a dataset collected in the target factory environment. In the tracking stage, it was shown that person tracking by StrongSORT became difficult for large distances between bounding boxes in consecutive frames. In contrast, the proposed method achieved an IDF1 score of 97.5% on a test dataset consisting of 3,599 frames. The proposed method identifies individuals based on image features extracted from bounding box, demonstrating that highly accurate worker tracking can be achieved.
Keyword (in Japanese) (See Japanese page) 
(in English) Omidirectional Camera / Person Detection / Person Tracking / Person Re-identification / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 424, PRMU2025-49, pp. 40-45, March 2026.
Paper # PRMU2025-49 
Date of Issue 2026-03-17 (PRMU) 
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 PRMU2025-49

Conference Information
Committee PRMU IPSJ-CVIM IBISML ITE-SIP  
Conference Date 2026-03-24 - 2026-03-25 
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 2026-03-PRMU-CVIM-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of Worker Tracking Methods Using Omnidirectional Camera Images 
Sub Title (in English)  
Keyword(1) Omidirectional Camera  
Keyword(2) Person Detection  
Keyword(3) Person Tracking  
Keyword(4) Person Re-identification  
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1st Author's Name Shozo Sato  
1st Author's Affiliation International Professional University of Technology in Nagoya (IPUT Nagoya)
2nd Author's Name Yusaku Asai  
2nd Author's Affiliation International Professional University of Technology in Nagoya (IPUT Nagoya)
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Speaker Author-1 
Date Time 2026-03-24 14:20:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2025-49 
Volume (vol) vol.125 
Number (no) no.424 
Page pp.40-45 
#Pages 6 
Date of Issue 2026-03-17 (PRMU) 

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