IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

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
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 CS2018-86 IE2018-65

Conference Information
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  
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)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
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 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan