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Paper Abstract and Keywords
Presentation 2024-01-18 15:05
Development of Management Methods against Inappropriate Data Segments in Bus Passenger OD Estimation using Person Tracking Methods
Tsubasa Nishiura, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokkaido Univ.) MSS2023-69 SS2023-48
Abstract (in Japanese) (See Japanese page) 
(in English) We are advancing the development of a passenger Origin-Destination (OD) estimation system using bus passengerboarding and alighting videos, to collect OD data reflecting passenger movements on route buses. This paper focuses on developing methods for processing inappropriate data segments to improve the estimation accuracy of the passenger OD estimation system. Inappropriate data segments refer to rectangles that may cause accuracy degradation when input into the person tracker from the person detector, and trajectories that include ID switches occurring during person tracking. These nappropriate data segments are factors in reducing the accuracy of person detection and tracking. We develop methods to remove inappropriate data segments based on the size and position of the rectangles and the overlap between trajectories. The application of the
inappropriate data segment processing method to the passenger OD estimation system was tested on actual route bus video data, confirming the possibility of improving OD estimation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) deep learning / object detection / object tracking / metric learning / OD data / bus / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 335, SS2023-48, pp. 99-104, Jan. 2024.
Paper # SS2023-48 
Date of Issue 2024-01-10 (MSS, SS) 
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 MSS2023-69 SS2023-48

Conference Information
Committee SS MSS  
Conference Date 2024-01-17 - 2024-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2024-01-SS-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of Management Methods against Inappropriate Data Segments in Bus Passenger OD Estimation using Person Tracking Methods 
Sub Title (in English) * 
Keyword(1) deep learning  
Keyword(2) object detection  
Keyword(3) object tracking  
Keyword(4) metric learning  
Keyword(5) OD data  
Keyword(6) bus  
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Keyword(8)  
1st Author's Name Tsubasa Nishiura  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Soichiro Yokoyama  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Tomohisa Yamashita  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Hidenori Kawamura  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2024-01-18 15:05:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # MSS2023-69, SS2023-48 
Volume (vol) vol.123 
Number (no) no.334(MSS), no.335(SS) 
Page pp.99-104 
#Pages 6 
Date of Issue 2024-01-10 (MSS, SS) 

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