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Paper Abstract and Keywords
Presentation 2024-12-05 13:05
A study on sidewalk riding detection of specified small motorized bicycles by image segmentation using image generation and viewpoint transformation
Shunsuke Katayama, Tetsuya manabe (Saitama Univ.) WBS2024-61 ITS2024-42 RCC2024-66
Abstract (in Japanese) (See Japanese page) 
(in English) This paper examines a learning data making method using image generation and viewpoint transformation to reduce time generating training data.
We improve sidewalk detection performance by reducing a distortion to produce by viewpoint transformation using image inpainting. Evaluation images are segmented using the transfer-learned model with the learning data generated by image inpainting and viewpoint transformation. Through this process, we detect riding environments by identifying the most frequent class in the ROI(Region of Interest) of segmentation images. We compared accuracy and generation time with training data generated by viewpoint transformation, training data generated by image inpainting and viewpoint transformation and handwork training data. As a result, training data generated by image inpainting and viewpoint transformation could be reduced by about 39% of generation time than handwork training data and improved the detection performance than training data generated by viewpoint transformation.
Keyword (in Japanese) (See Japanese page) 
(in English) image generation / viewpoint transformation / image segmentation / specified small motorized bicycles / sidewalk riding / illegal riding / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 284, ITS2024-42, pp. 169-174, Dec. 2024.
Paper # ITS2024-42 
Date of Issue 2024-11-27 (WBS, ITS, RCC) 
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 WBS2024-61 ITS2024-42 RCC2024-66

Conference Information
Committee WBS ITS RCC  
Conference Date 2024-12-04 - 2024-12-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima Prefectural Culture Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ITS 
Conference Code 2024-12-WBS-ITS-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on sidewalk riding detection of specified small motorized bicycles by image segmentation using image generation and viewpoint transformation 
Sub Title (in English)  
Keyword(1) image generation  
Keyword(2) viewpoint transformation  
Keyword(3) image segmentation  
Keyword(4) specified small motorized bicycles  
Keyword(5) sidewalk riding  
Keyword(6) illegal riding  
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Keyword(8)  
1st Author's Name Shunsuke Katayama  
1st Author's Affiliation Saitama Univercity (Saitama Univ.)
2nd Author's Name Tetsuya manabe  
2nd Author's Affiliation Saitama Univercity (Saitama Univ.)
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Speaker Author-1 
Date Time 2024-12-05 13:05:00 
Presentation Time 25 minutes 
Registration for ITS 
Paper # WBS2024-61, ITS2024-42, RCC2024-66 
Volume (vol) vol.124 
Number (no) no.283(WBS), no.284(ITS), no.285(RCC) 
Page pp.169-174 
#Pages 6 
Date of Issue 2024-11-27 (WBS, ITS, RCC) 

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