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Paper Abstract and Keywords
Presentation 2018-11-30 15:15
A pedestrian tracking system using ICA and a particle filter
Yoshihiro Tomonari, Yukinori Suzuki (Muroran IT) CS2018-86 IE2018-65
Abstract (in Japanese) (See Japanese page) 
(in English) A pedestrian tracking system has been studied for various systems such as surveillance systems and traffic monitoring systems, which are application studies of computer vision. Since a particle filter is applicable to state space models with nonlinear and non-Gaussian, it is useful for tracking a pedestrian. To implement robust tracking, it is necessary to obtain features of the appearance of pedestrian in a video. ICA (independent component analysis) is able to obtain geometrical features of a pedestrian and is therefore useful for implementing a tracking system. ICA bases were computed from a variety of pedestrian images. An image block of a pedestrian image is reconstructed by linear combination of ICA bases. Weight coefficients to combine ICA bases can be features for the appearance of a pedestrian in a video. Image blocks were extracted from the image where a particle located. A matrix was constructed by weight coefficients for these image blocks. Vector consisting of singular values of the matrix were computed and they were used to compute the likelihood of a particle. A filtering operation was carried out for each particle using the likelihood. We conducted experiments in which a specific pedestrian among a number of pedestrians was tracked. Experimental results showed that the system was not able to accurately track pedestrians. However, we found how to improve the system.
Keyword (in Japanese) (See Japanese page) 
(in English) ICA / likelihood / particle filter / pedestrian tracking / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 329, IE2018-65, pp. 117-122, Nov. 2018.
Paper # IE2018-65 
Date of Issue 2018-11-22 (CS, 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)
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Conference Information
Committee CS IE IPSJ-AVM ITE-BCT  
Conference Date 2018-11-29 - 2018-11-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima University (Memorial Hall of Almuni(Engineering)) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image coding, Communications and streaming technologies, etc. 
Paper Information
Registration To IE 
Conference Code 2018-11-CS-IE-AVM-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A pedestrian tracking system using ICA and a particle filter 
Sub Title (in English)  
Keyword(1) ICA  
Keyword(2) likelihood  
Keyword(3) particle filter  
Keyword(4) pedestrian tracking  
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1st Author's Name Yoshihiro Tomonari  
1st Author's Affiliation Muroran Institute of Technology Institute of Technology i (Muroran IT)
2nd Author's Name Yukinori Suzuki  
2nd Author's Affiliation Muroran Institute of Technology Institute of Technology i (Muroran IT)
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Speaker
Date Time 2018-11-30 15:15:00 
Presentation Time 25 
Registration for IE 
Paper # IEICE-CS2018-86,IEICE-IE2018-65 
Volume (vol) IEICE-118 
Number (no) no.328(CS), no.329(IE) 
Page pp.117-122 
#Pages IEICE-6 
Date of Issue IEICE-CS-2018-11-22,IEICE-IE-2018-11-22 


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