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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
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 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)  
Keyword(1) Human Detection  
Keyword(2) Microwave Doppler Radar  
Keyword(3) Higher-order Local Autocorrelation Features  
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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Date Time 2013-05-16 11:20:00 
Presentation Time 25 
Registration for SIP 
Paper # EA2013-3, SIP2013-3, SP2013-3 
Volume (vol) 113 
Number (no) no.27(EA), no.28(SIP), no.29(SP) 
Page pp.13-18 
Date of Issue 2013-05-09 (EA, SIP, SP) 

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