Paper Abstract and Keywords |
Presentation |
2013-05-16 11:20
Human Sensing Technique Using Microwave Doppler Radar Based on Higher-order Local Autocorrelation Features Daisuke Okuya, Michiyo Hiramoto, Kurato Maeno (OKI) EA2013-3 SIP2013-3 SP2013-3 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Conventionally, as for the feeling sensor of a person which detects the existence of the person in object area, it is common to use a infrared sensor. However, for the characteristic that an infrared sensor reacts to the amount of change of temperature distribution, when people have stopped in area, the reaction of a sensor is not obtained. So, this paper aimed at detection of those who have stopped in area using Microwave Doppler Radar
which can detect a motion of an object from the gap of the frequency of a transceiver wave. And the noise component resulting from disturbance was removed from the signal of Microwave Doppler Radar, and in order to extract the ingredient originating in a motion of people, the human detection technology which detects people's existence correctly was proposed by using the recognition technique which made feature quantity Higher-order Local Autocorrelation : HLAC features. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Human Detection / Microwave Doppler Radar / Higher-order Local Autocorrelation Features / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 28, SIP2013-3, pp. 13-18, May 2013. |
Paper # |
SIP2013-3 |
Date of Issue |
2013-05-09 (EA, SIP, SP) |
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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EA2013-3 SIP2013-3 SP2013-3 |
Conference Information |
Committee |
SP EA SIP |
Conference Date |
2013-05-16 - 2013-05-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Speech and Acoustic Signal Processing, Speech, and Related Topics |
Paper Information |
Registration To |
SIP |
Conference Code |
2013-05-SP-EA-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Human Sensing Technique Using Microwave Doppler Radar Based on Higher-order Local Autocorrelation Features |
Sub Title (in English) |
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Keyword(1) |
Human Detection |
Keyword(2) |
Microwave Doppler Radar |
Keyword(3) |
Higher-order Local Autocorrelation Features |
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1st Author's Name |
Daisuke Okuya |
1st Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
2nd Author's Name |
Michiyo Hiramoto |
2nd Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
3rd Author's Name |
Kurato Maeno |
3rd Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
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Speaker |
Author-1 |
Date Time |
2013-05-16 11:20:00 |
Presentation Time |
25 minutes |
Registration for |
SIP |
Paper # |
EA2013-3, SIP2013-3, SP2013-3 |
Volume (vol) |
vol.113 |
Number (no) |
no.27(EA), no.28(SIP), no.29(SP) |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2013-05-09 (EA, SIP, SP) |
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