Paper Abstract and Keywords |
Presentation |
2015-12-22 09:30
Group Detection in Crowd Considering Action Mode of Each Group Tsukasa Ono, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) PRMU2015-106 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this report, we focus on the problem of group detection in crowd, which is a task of separating the whole set of pedestrians into small sets called groups based on their trajectories. Most of previous methods use only a single model for representing a relationship between trajectories of pedestrians who belong to the same group. However, such relationship would vary depending on the action mode (walking together, approaching, splitting, and so on) of the group. In this report, we propose a novel group detection method which can cope with a variation of groups' action modes. The proposed method constructs different models for each action mode in order to appropriately evaluate the relationship of pedestrians' trajectories. In addition, our method regards groups' action modes as hidden variables and estimates their probability distributions, which is used for integrating (or marginalizing) the constructed models. The proposed method outperforms existing methods in the experiment on the public dataset. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Group Detection / Group's Action Mode / Structural SVM (SSVM) / Marginal SSVM (MSSVM) / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 388, PRMU2015-106, pp. 81-86, Dec. 2015. |
Paper # |
PRMU2015-106 |
Date of Issue |
2015-12-14 (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) |
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PRMU2015-106 |
Conference Information |
Committee |
PRMU |
Conference Date |
2015-12-21 - 2015-12-22 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2015-12-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Group Detection in Crowd Considering Action Mode of Each Group |
Sub Title (in English) |
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Keyword(1) |
Group Detection |
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Group's Action Mode |
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Structural SVM (SSVM) |
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Marginal SSVM (MSSVM) |
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1st Author's Name |
Tsukasa Ono |
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 |
Noboru Babaguchi |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-12-22 09:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2015-106 |
Volume (vol) |
vol.115 |
Number (no) |
no.388 |
Page |
pp.81-86 |
#Pages |
6 |
Date of Issue |
2015-12-14 (PRMU) |
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