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| Presentation | 2007-11-29 11:30 Improvement in Robustness of Vision-based Real-time Human Posture Analysis Using Incremental Learnable Self-Organizing Map Atsushi Shimada, Madoka Kanouchi (Kyushu Univ.), Daisaku Arita (ISIT), Rin-ichiro Taniguchi (Kyushu Univ.)  PRMU2007-129 MVE2007-62 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | e propose an approach to improve the accuracy of estimating feature points of human body on a vision-based motion capture system (MCS) by using the Variable-density Self-Organizing Map (VDSOM). The VDSOM is a kind of Self-Organizing Map (SOM) and is incremental learnable model. We let VDSOM learn 3-D feature points of human body when the MCS succeeded in estimating them correctly. Three abilities are required for the SOM in this case; 1) The ability to learn training data sequentially, 2) the ability to create a lot of patterns from a few number of training sample, 3) the ability to correlate the feature points of each body part in learning. The VDSOM is very effective for these issues. On the other hand, one or more than one 3-D feature point could not estimated correctly, we use the VDSOM for the other purpose. The SOM including VDSOM has an ability to recall a part of weight vector which have learned in the learning process. We use this ability to recall missing feature points. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Self-Organizing Map / Vision-Based Motion Capture System / Incremental Learning / Recall / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 107, no. 359, PRMU2007-129, pp. 13-18, Nov. 2007. | |
| Paper # | PRMU2007-129 | |
| Date of Issue | 2007-11-22 (PRMU, MVE) | |
| ISSN | Print edition: ISSN 0913-5685 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 | PRMU2007-129 MVE2007-62 |
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| Conference Information | |
| Committee | MVE PRMU |
| Conference Date | 2007-11-29 - 2007-11-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ehime University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2007-11-MVE-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement in Robustness of Vision-based Real-time Human Posture Analysis Using Incremental Learnable Self-Organizing Map |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Map |
| Keyword(2) | Vision-Based Motion Capture System |
| Keyword(3) | Incremental Learning |
| Keyword(4) | Recall |
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| 1st Author's Name | Atsushi Shimada |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Madoka Kanouchi |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Daisaku Arita |
| 3rd Author's Affiliation | Institute of Systems & Information Technologies/KYUSHU (ISIT) |
| 4th Author's Name | Rin-ichiro Taniguchi |
| 4th Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2007-11-29 11:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2007-129, MVE2007-62 |
| Volume (vol) | vol.107 |
| Number (no) | no.359(PRMU), no.360(MVE) |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2007-11-22 (PRMU, MVE) |
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