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Paper Abstract and Keywords
Presentation 2014-03-06 13:20
Object Tracking in Crowded Scenes by Dependent Dirichlet Process Hidden Markov Model
Katsuya Kondo, Takuya Okamoto (Tottori Univ.) SIS2013-60
Abstract (in Japanese) (See Japanese page) 
(in English) In crowded scenes where it is generally difficult to track moving objects, detection and tracking of objects are very challenging tasks. In this report, we detect objects by focusing on object’s shape and intensity distribution. And we propose a method of individually tracking many objects in crowded scenes. This method applies Dependent Dirichlet Process Hidden Markov Model to the optical flows of moving objects. Each object is detected by calculating quadratic form of adaptive ring filter output and it is classified by a support vector machine. Also, movement line is obtained by tracking an object. Some experimental results show that the huge flows can be analyzed, and each object can be individually tracked in crowded scenes.
Keyword (in Japanese) (See Japanese page) 
(in English) Hidden Markov Model / Flow Analysis / Object Tracking / Crowded Scenes / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 467, SIS2013-60, pp. 27-30, March 2014.
Paper # SIS2013-60 
Date of Issue 2014-02-27 (SIS) 
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)
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Conference Information
Committee SIS  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Gran Front Osaka, Knowledge Capital C-9F, 901 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2014-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Object Tracking in Crowded Scenes by Dependent Dirichlet Process Hidden Markov Model 
Sub Title (in English)  
Keyword(1) Hidden Markov Model  
Keyword(2) Flow Analysis  
Keyword(3) Object Tracking  
Keyword(4) Crowded Scenes  
1st Author's Name Katsuya Kondo  
1st Author's Affiliation Tottori University (Tottori Univ.)
2nd Author's Name Takuya Okamoto  
2nd Author's Affiliation Tottori University (Tottori Univ.)
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Date Time 2014-03-06 13:20:00 
Presentation Time 20 
Registration for SIS 
Paper # IEICE-SIS2013-60 
Volume (vol) IEICE-113 
Number (no) no.467 
Page pp.27-30 
#Pages IEICE-4 
Date of Issue IEICE-SIS-2014-02-27 

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