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| 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 |
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| 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 | 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 | CS2018-86 IE2018-65 |
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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 | Author-1 |
| Date Time | 2018-11-30 15:15:00 |
| Presentation Time | 25 minutes |
| Registration for | IE |
| Paper # | CS2018-86, IE2018-65 |
| Volume (vol) | vol.118 |
| Number (no) | no.328(CS), no.329(IE) |
| Page | pp.117-122 |
| #Pages | 6 |
| Date of Issue | 2018-11-22 (CS, IE) |
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