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| Presentation | 2019-03-18 16:10 [Invited Talk] Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018) Yasushi Makihara, Gakuto Ogi, Yasushi Yagi (Osaka Univ.)  BioX2018-66 PRMU2018-170 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the gait recognition community, silhouette-based gait representations such as gait energy image have been widely employed for the last decade. In order to obtain good quality of gait features, it is essential to get a well aligned silhouette sequence, which is, however, not necessarily easy with imperfect silhouettes and also with scale and position changes due to perspective projection. We therefore propose a gait recognition-oriented approach to pedestrian trajectory extraction, i.e., bounding box sequence for each pedestrian. Experimental results show that the proposed method enables us to make better aligned gait features and consequently improves gait recognition accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Gait recognition / Pedestrian trajectory extraction / Dynamic programming / Piese-wise linear approximation / Geometric constraint / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 512, BioX2018-66, pp. 207-207, March 2019. | |
| Paper # | BioX2018-66 | |
| Date of Issue | 2019-03-10 (BioX, PRMU) | |
| 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 | BioX2018-66 PRMU2018-170 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2019-03-17 - 2019-03-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | BioX |
| Conference Code | 2019-03-PRMU-BioX |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018) |
| Sub Title (in English) | |
| Keyword(1) | Gait recognition |
| Keyword(2) | Pedestrian trajectory extraction |
| Keyword(3) | Dynamic programming |
| Keyword(4) | Piese-wise linear approximation |
| Keyword(5) | Geometric constraint |
| Keyword(6) | |
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| 1st Author's Name | Yasushi Makihara |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Gakuto Ogi |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Yasushi Yagi |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-03-18 16:10:00 |
| Presentation Time | 20 minutes |
| Registration for | BioX |
| Paper # | BioX2018-66, PRMU2018-170 |
| Volume (vol) | vol.118 |
| Number (no) | no.512(BioX), no.513(PRMU) |
| Page | p.207 |
| #Pages | 1 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |
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