Paper Abstract and Keywords |
Presentation |
2017-02-23 13:40
Study on very short time feature quantities for the pedestrian recognition with cars using Multiple Frequency Stepped Radar with Complementary Phase Code and machine learning algorisms Maho Nakamura, Kazuhiro Watanabe, Manabu Akita, Masato Watanabe, Takayuki Inaba (UEC) SANE2016-119 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We report about a study on very short time feature quantities for the pedestrian recognition with cars using Multiple Frequency Stepped Radar with Complementary Phase Code and machine learning algorithms. The features are calculated from the features of shapes on Range-Doppler velocity (RV) maps and the power distributions of RV maps and so on. This study will provide applications for the short time radar recognition even in the bad weather or dark place comparing with recognition using cameras or movies. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
illimeter-wave radar / car recognition / pedestrian recognition / Machine learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 469, SANE2016-119, pp. 7-12, Feb. 2017. |
Paper # |
SANE2016-119 |
Date of Issue |
2017-02-16 (SANE) |
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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SANE2016-119 |
Conference Information |
Committee |
SANE SAT |
Conference Date |
2017-02-23 - 2017-02-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Katsuura Hotel Mikazuki |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Satellite Application and General |
Paper Information |
Registration To |
SANE |
Conference Code |
2017-02-SANE-SAT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Study on very short time feature quantities for the pedestrian recognition with cars using Multiple Frequency Stepped Radar with Complementary Phase Code and machine learning algorisms |
Sub Title (in English) |
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Keyword(1) |
illimeter-wave radar |
Keyword(2) |
car recognition |
Keyword(3) |
pedestrian recognition |
Keyword(4) |
Machine learning |
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1st Author's Name |
Maho Nakamura |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Kazuhiro Watanabe |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
3rd Author's Name |
Manabu Akita |
3rd Author's Affiliation |
The University of Electro-Communications (UEC) |
4th Author's Name |
Masato Watanabe |
4th Author's Affiliation |
The University of Electro-Communications (UEC) |
5th Author's Name |
Takayuki Inaba |
5th Author's Affiliation |
The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2017-02-23 13:40:00 |
Presentation Time |
25 minutes |
Registration for |
SANE |
Paper # |
SANE2016-119 |
Volume (vol) |
vol.116 |
Number (no) |
no.469 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2017-02-16 (SANE) |