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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
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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)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
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)  
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
Date of Issue 2011-02-10 (PRMU) 


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