Paper Abstract and Keywords |
Presentation |
2015-10-06 11:25
A Study for a Pedestrian Recognition System that Uses Color Region Features Yujiro Matsuda, Lin Meng, Masahiro Fukui (Ritsumeikan Univ.) CAS2015-38 NLP2015-99 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, high accuracy and high-speed pedestrian recognition system is strongly requested as the demand of the automotive safety system. This paper proposes a method that the feature area is extracted by combining gray scale, RGB, and hue information of the image. It analyzes the angle histogram to judge whether the object is a pedestrian. The recognition rate achieved 96.5%, and it is higher than the related work. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Intelligent transport system / Pedestrian recognition system / Region extraction / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 239, CAS2015-38, pp. 91-96, Oct. 2015. |
Paper # |
CAS2015-38 |
Date of Issue |
2015-09-28 (CAS, NLP) |
ISSN |
Print edition: ISSN 0913-5685 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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CAS2015-38 NLP2015-99 |
Conference Information |
Committee |
NLP CAS |
Conference Date |
2015-10-05 - 2015-10-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Aster Plaza |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
CAS |
Conference Code |
2015-10-NLP-CAS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study for a Pedestrian Recognition System that Uses Color Region Features |
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Intelligent transport system |
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Pedestrian recognition system |
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Region extraction |
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1st Author's Name |
Yujiro Matsuda |
1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
2nd Author's Name |
Lin Meng |
2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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Masahiro Fukui |
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Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-10-06 11:25:00 |
Presentation Time |
25 minutes |
Registration for |
CAS |
Paper # |
CAS2015-38, NLP2015-99 |
Volume (vol) |
vol.115 |
Number (no) |
no.239(CAS), no.240(NLP) |
Page |
pp.91-96 |
#Pages |
6 |
Date of Issue |
2015-09-28 (CAS, NLP) |
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