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| Presentation | 2017-03-21 11:05 Co-Activity Detection from Multiple Videos Using Foreground Motion and Background Appearance Keisuke Kawamura, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.)  BioX2016-58 PRMU2016-221 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Today, there are a lot of videos annotated with text tags on the Internet. Although these tags coarsely represent the corresponding video content, some scenes in the video are not related to the tags. From this background, methods for detecting the scenes in tagged videos that are truly related to the given tag have been studied recently. In this paper, we also tackle this problem, especially focusing on tags of human activities. This task is so called ``co-activity detection''. Because some human activities are performed only in limited places, features of background appearance as well as foreground motion would be effective for co-activity detection. Hence, in this paper, we propose a method of co-activity detection that uses foreground motion and background appearance in an integrated manner. Our experimental results on a dataset captured in a realistic setting indicate that background appearance are helpful for improving the accuracy of co-activity detection. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | co-activity detection / tagged video / motion feature / background feature / absorbing markov chain / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 528, PRMU2016-221, pp. 149-154, March 2017. | |
| Paper # | PRMU2016-221 | |
| Date of Issue | 2017-03-13 (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 | BioX2016-58 PRMU2016-221 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2017-03-20 - 2017-03-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2017-03-PRMU-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Co-Activity Detection from Multiple Videos Using Foreground Motion and Background Appearance |
| Sub Title (in English) | |
| Keyword(1) | co-activity detection |
| Keyword(2) | tagged video |
| Keyword(3) | motion feature |
| Keyword(4) | background feature |
| Keyword(5) | absorbing markov chain |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Keisuke Kawamura |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Kazuaki Nakamura |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Naoko Nitta |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
| 4th Author's Name | Noboru Babaguchi |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-03-21 11:05:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | BioX2016-58, PRMU2016-221 |
| Volume (vol) | vol.116 |
| Number (no) | no.527(BioX), no.528(PRMU) |
| Page | pp.149-154 |
| #Pages | 6 |
| Date of Issue | 2017-03-13 (BioX, PRMU) |
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