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Paper Abstract and Keywords
Presentation 2025-03-03 15:10
A Study on Pedestrian Detection from Painted Surface Reflection Images Using General Pre-trained Models
Rei Oyama, Haruto Himeno, Ryoutaro Niwa, Yusuke Takatori (Kanagawa Inst of Tec) ITS2024-101
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, a method is proposed to detect pedestrians located outside the line of sight from a vehicle by utilizing reflected images on painted reflective surfaces, such as the sides of other vehicles, through object detection using deep learning-based general-purpose pretrained models. In a preliminary experiment, an existing general-purpose object detection model trained on directly captured images of pedestrians was applied to images of pedestrians reflected on painted surfaces. However, the accuracy, as defined by previous studies, was found to be less than 60%, indicating the need for further improvement. The authors attempted to enhance detection accuracy by applying a flattening process to the reflected images on painted surfaces, thereby equalizing hue and brightness. As a result, pedestrian detection accuracy improved to 86% based on the defined detection metric.
Keyword (in Japanese) (See Japanese page) 
(in English) ITS / NLOS obstacle position estimation / Pedestrian detection / Deep learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 394, ITS2024-101, pp. 10-15, March 2025.
Paper # ITS2024-101 
Date of Issue 2025-02-24 (ITS) 
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 ITS2024-101

Conference Information
Committee ITS IEE-ITS  
Conference Date 2025-03-03 - 2025-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) K-office 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ITS 
Conference Code 2025-03-ITS-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Pedestrian Detection from Painted Surface Reflection Images Using General Pre-trained Models 
Sub Title (in English)  
Keyword(1) ITS  
Keyword(2) NLOS obstacle position estimation  
Keyword(3) Pedestrian detection  
Keyword(4) Deep learning  
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1st Author's Name Rei Oyama  
1st Author's Affiliation Kanagawa Institute of Technology (Kanagawa Inst of Tec)
2nd Author's Name Haruto Himeno  
2nd Author's Affiliation Kanagawa Institute of Technology (Kanagawa Inst of Tec)
3rd Author's Name Ryoutaro Niwa  
3rd Author's Affiliation Kanagawa Institute of Technology (Kanagawa Inst of Tec)
4th Author's Name Yusuke Takatori  
4th Author's Affiliation Kanagawa Institute of Technology (Kanagawa Inst of Tec)
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Speaker Author-1 
Date Time 2025-03-03 15:10:00 
Presentation Time 20 minutes 
Registration for ITS 
Paper # ITS2024-101 
Volume (vol) vol.124 
Number (no) no.394 
Page pp.10-15 
#Pages 6 
Date of Issue 2025-02-24 (ITS) 

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