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Paper Abstract and Keywords
Presentation 2016-02-23 12:00
Consideration of Frame Image Selection and Size for Detection System of Unusual Situation
Sachi Kuranishi, Hitoshi Yamauchi, Hironori Takimoto (Okayama Pref. Univ.) ITS2015-81 IE2015-123
Abstract (in Japanese) (See Japanese page) 
(in English) We proposed an unusual situation detection system with camera used for elderly living alone. As the system's first step, image spatio-temporal HOG feature is calculated from the video. Next step is feature clustering for judgment. Third step is machine learning of clusters. The acquired situation is judged as usual or unusual according to machine learning results. Because, the long term features can be treated as usual features. If unusual judgment is made, the system notifies families accident occurence.
Finaly, extracted features are learned for further judgment.
In this report, we consider integration of continual frame images to
detect differences of situational variation in time direction.
Experimental results shows that frame integration by averaging
achieves detection of situational variation in time direction.
Keyword (in Japanese) (See Japanese page) 
(in English) Unusual situation detection / Machine leaning / Spatio-temporal HOG features / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 459, IE2015-123, pp. 269-274, Feb. 2016.
Paper # IE2015-123 
Date of Issue 2016-02-15 (ITS, IE) 
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 ITS2015-81 IE2015-123

Conference Information
Committee ITS IE ITE-AIT ITE-HI ITE-ME ITE-MMS ITE-CE  
Conference Date 2016-02-22 - 2016-02-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2016-02-ITS-IE-AIT-HI-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Consideration of Frame Image Selection and Size for Detection System of Unusual Situation 
Sub Title (in English)  
Keyword(1) Unusual situation detection  
Keyword(2) Machine leaning  
Keyword(3) Spatio-temporal HOG features  
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1st Author's Name Sachi Kuranishi  
1st Author's Affiliation Okayama Prefectural University (Okayama Pref. Univ.)
2nd Author's Name Hitoshi Yamauchi  
2nd Author's Affiliation Okayama Prefectural University (Okayama Pref. Univ.)
3rd Author's Name Hironori Takimoto  
3rd Author's Affiliation Okayama Prefectural University (Okayama Pref. Univ.)
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Speaker Author-1 
Date Time 2016-02-23 12:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2015-81, IE2015-123 
Volume (vol) vol.115 
Number (no) no.458(ITS), no.459(IE) 
Page pp.269-274 
#Pages 6 
Date of Issue 2016-02-15 (ITS, IE) 

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