Paper Abstract and Keywords |
Presentation |
2018-01-18 09:30
Trajectory semantic segmentation based on behavior models Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preprocessing. In this paper, we propose a trajectory semantic segmentation method based on learned behavior models. In the proposed method, we learn some behavior models from video sequences. Next, using learned behavior models and a hidden markov model, we segment a trajectory into semantic segments. Comparing with the Ramer-Douglas-Peucker algorithm, we show the effectiveness of the proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
trajectory data mining / behavior analysis / semantic segmentation / bayesian inference / hidden markov model / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 391, PRMU2017-112, pp. 1-7, Jan. 2018. |
Paper # |
PRMU2017-112 |
Date of Issue |
2018-01-11 (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) |
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PRMU2017-112 MVE2017-33 |
Conference Information |
Committee |
PRMU MVE IPSJ-CVIM |
Conference Date |
2018-01-18 - 2018-01-19 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2018-01-PRMU-MVE-CVIM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Trajectory semantic segmentation based on behavior models |
Sub Title (in English) |
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Keyword(1) |
trajectory data mining |
Keyword(2) |
behavior analysis |
Keyword(3) |
semantic segmentation |
Keyword(4) |
bayesian inference |
Keyword(5) |
hidden markov model |
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1st Author's Name |
Daisuke Ogawa |
1st Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
2nd Author's Name |
Toru Tamaki |
2nd Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
3rd Author's Name |
Bisser Raytchev |
3rd Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
4th Author's Name |
Kazufumi Kaneda |
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Hiroshima University (Hiroshima Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-01-18 09:30:00 |
Presentation Time |
25 minutes |
Registration for |
PRMU |
Paper # |
PRMU2017-112, MVE2017-33 |
Volume (vol) |
vol.117 |
Number (no) |
no.391(PRMU), no.392(MVE) |
Page |
pp.1-7 |
#Pages |
7 |
Date of Issue |
2018-01-11 (PRMU, MVE) |
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