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Paper Abstract and Keywords
Presentation 2014-03-07 09:35
A fast vehicle detection method from omni-directional video
Koutaro Katayama, Keiji Shibata, Yuukou Horita (Univ. Toyama) IMQ2013-50 IE2013-159 MVE2013-88
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a fast method for vehicle detection from omni-directional video without panoramic expansion. Vehicle detection using an omni-directional videos is performed by panoramic expansion generally; since it requires a pixel interpolation, it is considered the adverse effect on the detection accuracy and the processing time due to pixel interpolation. To this problem, we have proposed a vehicle detection method using an omni-directional image without panoramic expansion. This method is calculated a rotation invariant intensity gradient feature in the region of circular sector; this process is necessary to perform every time of scanning the circular sector. By integrating the feature quantity in polar direction, and calculates the feature value in constant time for each region of circular sector, it was possible to reduce the processing time.
Keyword (in Japanese) (See Japanese page) 
(in English) Omni-directional Image / Vehicle Detection / Integral Image / Fast Method / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 468, IMQ2013-50, pp. 125-128, March 2014.
Paper # IMQ2013-50 
Date of Issue 2014-02-27 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
Download PDF IMQ2013-50 IE2013-159 MVE2013-88

Conference Information
Committee CQ MVE IE IMQ CEA  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu International Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Five senses media, Food media, Social media, Multimedia, Virtual Environment, Image encoding, Cloud, Mobile, Network, and their quality and reliability,General area 
Paper Information
Registration To IMQ 
Conference Code 2014-03-CQ-MVE-IE-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A fast vehicle detection method from omni-directional video 
Sub Title (in English)  
Keyword(1) Omni-directional Image  
Keyword(2) Vehicle Detection  
Keyword(3) Integral Image  
Keyword(4) Fast Method  
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1st Author's Name Koutaro Katayama  
1st Author's Affiliation University of Toyama (Univ. Toyama)
2nd Author's Name Keiji Shibata  
2nd Author's Affiliation University of Toyama (Univ. Toyama)
3rd Author's Name Yuukou Horita  
3rd Author's Affiliation University of Toyama (Univ. Toyama)
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Speaker
Date Time 2014-03-07 09:35:00 
Presentation Time 25 
Registration for IMQ 
Paper # IEICE-IMQ2013-50,IEICE-IE2013-159,IEICE-MVE2013-88 
Volume (vol) IEICE-113 
Number (no) no.468(IMQ), no.469(IE), no.470(MVE) 
Page pp.125-128 
#Pages IEICE-4 
Date of Issue IEICE-IMQ-2014-02-27,IEICE-IE-2014-02-27,IEICE-MVE-2014-02-27 


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