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Paper Abstract and Keywords
Presentation 2019-11-06 13:25
[Poster Presentation] Performance Evaluations of Human Detection Method using 360-degree Image toward Sidewalk Congestion Estimation
Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Jiro Katto (Waseda Univ) SRW2019-30 SeMI2019-74 CNR2019-24
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we evaluate the performance of human detection method using 360-degree images to estimate the sidewalk congestion level. Because the 360-degree image is captured by an omnidirectional camera, performed the image stitching, and transformed by equirectangular projection, the captured 360-degree image is distorted. Therefore, to detect humans with higher accuracy and longer distance, we do not use the distorted 360-degree image but use the “corrected” image by projection method. In addition, to maintain an advantage of high resolution, we extract the image corresponding to a certain field of view from the corrected image. By performing the process, we validate the improvement of detection distance. Furthermore, we attempt to detection pedestrians on the sidewalk around Waseda University. In the experiment, we adopt gnomonic projection as a projection method and YOLOv3 as a human detection.
Keyword (in Japanese) (See Japanese page) 
(in English) 360-degree video / Human detection / Congestion estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 266, SeMI2019-74, pp. 65-66, Nov. 2019.
Paper # SeMI2019-74 
Date of Issue 2019-10-29 (SRW, SeMI, CNR) 
ISSN Online edition: ISSN 2432-6380
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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 SRW2019-30 SeMI2019-74 CNR2019-24

Conference Information
Committee SRW SeMI CNR  
Conference Date 2019-11-05 - 2019-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kozo Keisaku Engineering Inc. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop (Oral or Poster presentation) 
Paper Information
Registration To SeMI 
Conference Code 2019-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluations of Human Detection Method using 360-degree Image toward Sidewalk Congestion Estimation 
Sub Title (in English)  
Keyword(1) 360-degree video  
Keyword(2) Human detection  
Keyword(3) Congestion estimation  
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1st Author's Name Kazuki Murayama  
1st Author's Affiliation Waseda University (Waseda Univ)
2nd Author's Name Kenji Kanai  
2nd Author's Affiliation Waseda University (Waseda Univ)
3rd Author's Name Masaru Takeuchi  
3rd Author's Affiliation Waseda University (Waseda Univ)
4th Author's Name Jiro Katto  
4th Author's Affiliation Waseda University (Waseda Univ)
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Speaker Author-1 
Date Time 2019-11-06 13:25:00 
Presentation Time 60 minutes 
Registration for SeMI 
Paper # SRW2019-30, SeMI2019-74, CNR2019-24 
Volume (vol) vol.119 
Number (no) no.265(SRW), no.266(SeMI), no.267(CNR) 
Page pp.45-46(SRW), pp.65-66(SeMI), pp.43-44(CNR) 
#Pages
Date of Issue 2019-10-29 (SRW, SeMI, CNR) 


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