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 |
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) |
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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) |
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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 |
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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 |
2 |
Date of Issue |
2019-10-29 (SRW, SeMI, CNR) |
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