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Paper Abstract and Keywords
Presentation 2015-03-03 16:20
Human tracking using Particle Filter and detection based on multiple likelihoods
Kotaro Udono, Akira Kubota (Chuo Univ.) IMQ2014-43 IE2014-104 MVE2014-91
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, thanks to development of low-cost and high-performance
imaging equipment, object detection and tracking methods have been
studied, which are expected to be applied in the field such as
suspicious person detection and buying psychology. Example of object
tracking methods includes Particle Filter. It works with high
precision for single object tracking; however it cannot handle well to
track multiple objects crossing with each other. Therefore, we propose
a novel tracking method that combines Particle Filter and Template
Matching based on color histogram and ORB feature for improving the
precision. The experimental results on real scenes that are difficult
in tracking by Particle Filter showed that the proposed method
improved the precision of tracking.
Keyword (in Japanese) (See Japanese page) 
(in English) Particle Filter / Template Matching / ORB / Multiple Likelihoods / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 486, IE2014-104, pp. 81-86, March 2015.
Paper # IE2014-104 
Date of Issue 2015-02-24 (IMQ, IE, MVE) 
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)
Download PDF IMQ2014-43 IE2014-104 MVE2014-91

Conference Information
Committee CQ IMQ MVE IE  
Conference Date 2015-03-03 - 2015-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Seikei Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2015-03-CQ-IMQ-MVE-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Human tracking using Particle Filter and detection based on multiple likelihoods 
Sub Title (in English)  
Keyword(1) Particle Filter  
Keyword(2) Template Matching  
Keyword(3) ORB  
Keyword(4) Multiple Likelihoods  
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1st Author's Name Kotaro Udono  
1st Author's Affiliation Chuo University (Chuo Univ.)
2nd Author's Name Akira Kubota  
2nd Author's Affiliation Chuo University (Chuo Univ.)
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Speaker Author-1 
Date Time 2015-03-03 16:20:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IMQ2014-43, IE2014-104, MVE2014-91 
Volume (vol) vol.114 
Number (no) no.485(IMQ), no.486(IE), no.487(MVE) 
Page pp.81-86 
#Pages 6 
Date of Issue 2015-02-24 (IMQ, IE, MVE) 

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