| Paper Abstract and Keywords |
| Presentation |
2011-02-18 13:00
Human motion recognition in crowded surveillance video sequences based on key-point trajectories Masaki Takahashi, Mahito Fujii, Masahide Naemura (NHKSTRL), Shin'ichi Satoh (NII) PRMU2010-225 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
There is a need for systems that can automatically detect specific human motions in a surveillance video. However, almost all of the human motion recognition techniques proposed so far are for detecting relatively large motions within simple video sequences. To alleviate this shortcoming, we propose a method that can detect specific small motions within crowd sequences of real surveillance video. Our motion recognition method is based on the bag-of-features approach, and key-point trajectories are used as its features. The method extracts a fixed-length feature descriptor from a key-point trajectory and uses it for event classification. In addition, feature weights are calculated for reducing the interference from noise trajectories in the background regions. We confirmed the effectiveness of our proposed method in experiments comparing it with other techniques and in the TRECVID Surveillance Event Detection task. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Human behavior recognition / Surveillance / Bag-of-features / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 110, no. 414, PRMU2010-225, pp. 111-116, Feb. 2011. |
| Paper # |
PRMU2010-225 |
| Date of Issue |
2011-02-10 (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 |
PRMU2010-225 |
| Conference Information |
| Committee |
PRMU |
| Conference Date |
2011-02-17 - 2011-02-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2011-02-PRMU |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Human motion recognition in crowded surveillance video sequences based on key-point trajectories |
| Sub Title (in English) |
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| Keyword(1) |
Human behavior recognition |
| Keyword(2) |
Surveillance |
| Keyword(3) |
Bag-of-features |
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| 1st Author's Name |
Masaki Takahashi |
| 1st Author's Affiliation |
NHK Science & Technology Research Laboratories (NHKSTRL) |
| 2nd Author's Name |
Mahito Fujii |
| 2nd Author's Affiliation |
NHK Science & Technology Research Laboratories (NHKSTRL) |
| 3rd Author's Name |
Masahide Naemura |
| 3rd Author's Affiliation |
NHK Science & Technology Research Laboratories (NHKSTRL) |
| 4th Author's Name |
Shin'ichi Satoh |
| 4th Author's Affiliation |
National Institute of Infomatics (NII) |
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| Speaker |
Author-1 |
| Date Time |
2011-02-18 13:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2010-225 |
| Volume (vol) |
vol.110 |
| Number (no) |
no.414 |
| Page |
pp.111-116 |
| #Pages |
6 |
| Date of Issue |
2011-02-10 (PRMU) |