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Paper Abstract and Keywords
Presentation 2012-02-20 15:40
Experimental Evaluation of Image Object Tracking Method using Particle Filter and Minimum Classification Error Training
Jyun'ichi Nakamura, Shigeru Katagiri, Miho Ohsaki (Doshisha Univ) ITS2011-36 IE2011-112
Abstract (in Japanese) (See Japanese page) 
(in English) To increase the accuracy of image object tracking, a discriminative tracking method was proposed that combined the particle filter and the minimum classification error training method. The method was evaluated in a task of tracking a hand image in a video scene. In that preceding study, a hand image was represented using its outline feature information, and the tracking was formalized as a two-class object detection task. However, we experimentally revealed that the method did not sufficiently work mainly due to the inadequacy of the outline-based hand image representation. Against this background, we propose in the present study an improved version of the method that replaces the outline-based feature representation with a small box-type image feature representation. We experimentally elaborate the performance of the improved method by controlling several key factors, such as the number of reference vectors per class.
Keyword (in Japanese) (See Japanese page) 
(in English) Minimum classification error training / Particle Filter / Discriminative Tracking / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 442, IE2011-112, pp. 79-84, Feb. 2012.
Paper # IE2011-112 
Date of Issue 2012-02-13 (ITS, IE) 
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 ITS2011-36 IE2011-112

Conference Information
Committee ITS IE ITE-AIT ITE-HI ITE-ME  
Conference Date 2012-02-20 - 2012-02-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processsing, Image Medium, Vision, etc. 
Paper Information
Registration To IE 
Conference Code 2012-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Experimental Evaluation of Image Object Tracking Method using Particle Filter and Minimum Classification Error Training 
Sub Title (in English)  
Keyword(1) Minimum classification error training  
Keyword(2) Particle Filter  
Keyword(3) Discriminative Tracking  
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1st Author's Name Jyun'ichi Nakamura  
1st Author's Affiliation Doshisha University (Doshisha Univ)
2nd Author's Name Shigeru Katagiri  
2nd Author's Affiliation Doshisha University (Doshisha Univ)
3rd Author's Name Miho Ohsaki  
3rd Author's Affiliation Doshisha University (Doshisha Univ)
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Date Time 2012-02-20 15:40:00 
Presentation Time 20 minutes 
Registration for IE 
Paper # ITS2011-36, IE2011-112 
Volume (vol) vol.111 
Number (no) no.441(ITS), no.442(IE) 
Page pp.79-84 
#Pages
Date of Issue 2012-02-13 (ITS, IE) 


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