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Paper Abstract and Keywords
Presentation 2010-03-16 10:50
Action Recognition by Combining Features Using Multiple Kernel Learning
Akitsugu Noguchi, Keiji Yanai (Univ. of Electro-Comm.) PRMU2009-286 HIP2009-171
Abstract (in Japanese) (See Japanese page) 
(in English) Recognizing action in video is very useful, because it can be applied to many kinds of applications.
Action recognition is being studied in many researches, but most research has focused on videos taken in controlled
environment. In this paper, we propose action recognition method by combining features based on Multiple Kernel
Learning(MKL), and we recognize action in web video shots. We combine visual, motion and spatio-temporal fea-
tures. As spatio-temporal feature, we utilize features which consists point and its local tracking. In experiment, we
evaluate our method using KTH dataset, and Youtube dataset. As a result, we obtain 94.0% as a classi¯cation rate
for in KTH dataset which is almost equivalent to state-of-art, and 80.4% for Youtube dataset which ourperforms
state-of-the-art much.
Keyword (in Japanese) (See Japanese page) 
(in English) spatio-temporal feature / action recognition / KTH / Youtube data / combining feature / MKL / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 470, PRMU2009-286, pp. 311-316, March 2010.
Paper # PRMU2009-286 
Date of Issue 2010-03-08 (PRMU, HIP) 
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 PRMU2009-286 HIP2009-171

Conference Information
Committee PRMU HIP  
Conference Date 2010-03-15 - 2010-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-03-PRMU-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Action Recognition by Combining Features Using Multiple Kernel Learning 
Sub Title (in English)  
Keyword(1) spatio-temporal feature  
Keyword(2) action recognition  
Keyword(3) KTH  
Keyword(4) Youtube data  
Keyword(5) combining feature  
Keyword(6) MKL  
Keyword(7)  
Keyword(8)  
1st Author's Name Akitsugu Noguchi  
1st Author's Affiliation The University of Electro-Communicaion (Univ. of Electro-Comm.)
2nd Author's Name Keiji Yanai  
2nd Author's Affiliation The University of Electro-Communicaion (Univ. of Electro-Comm.)
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Speaker Author-1 
Date Time 2010-03-16 10:50:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2009-286, HIP2009-171 
Volume (vol) vol.109 
Number (no) no.470(PRMU), no.471(HIP) 
Page pp.311-316 
#Pages 6 
Date of Issue 2010-03-08 (PRMU, HIP) 

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