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Paper Abstract and Keywords
Presentation 2016-03-25 15:15
Scene and Actions: Combining Multiple Deep Features for Human Action Recognition
Yasunori Kudo, Shunta Saito, Yoshimitsu Aoki (Keio Univ.) BioX2015-68 PRMU2015-191
Abstract (in Japanese) (See Japanese page) 
(in English) It is challenging problem to recognize human action in static images automatically. Recognizing human action can be applied to automatic control robots which has camera such as self-driving cars and communication robots. We propose an accurate human action recognition system by extracting CNN features from various parts of the still image and get a 3% improvement in mAP.
Keyword (in Japanese) (See Japanese page) 
(in English) Action Recognition / Convolutional Neural Network / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 517, PRMU2015-191, pp. 161-166, March 2016.
Paper # PRMU2015-191 
Date of Issue 2016-03-17 (BioX, 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 BioX2015-68 PRMU2015-191

Conference Information
Committee PRMU BioX  
Conference Date 2016-03-24 - 2016-03-25 
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 2016-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Scene and Actions: Combining Multiple Deep Features for Human Action Recognition 
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Keyword(1) Action Recognition  
Keyword(2) Convolutional Neural Network  
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1st Author's Name Yasunori Kudo  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Shunta Saito  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Yoshimitsu Aoki  
3rd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2016-03-25 15:15:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # BioX2015-68, PRMU2015-191 
Volume (vol) vol.115 
Number (no) no.516(BioX), no.517(PRMU) 
Page pp.161-166 
#Pages 6 
Date of Issue 2016-03-17 (BioX, PRMU) 

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