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Paper Abstract and Keywords
Presentation 2013-03-11 10:35
A Study on Smoke Detection Method Based on LBP Featured and AdaBoost
Yusuke Iida, Hidenori Maruta, Fujio Kurokawa (Nagasaki Univ.) IMQ2012-44 IE2012-148 MVE2012-105 WIT2012-54
Abstract (in Japanese) (See Japanese page) 
(in English) Smoke occurs simultaneously with a fire and we can observe it even if the fire is not in the field of view of the camera because it has features such as form change and spreading caused by its own growth or window. Therefore, smoke is a key feature to detect a fire. In this paper, we examine a smoke detection method using the image information aiming at the early detection of a fire. To detect smoke from image information which is acquired from a single camera, we use Local Binary Patterns (LBP) as an image feature. We compute the LBP histogram of each divided block using LBP and discriminate it as an input vector by AdaBoost with easy implement of an algorithm. In smoke detection, its results may not be robust and affected from environmental conditions such as background objects. Thus we adopt AdaBoost to obtain the robust detection results. We manually choose smoke and non--smoke data from the image sequences which have different environmental conditions for training of AdaBoost. Using trained classifier, the divided image block is classified whether it is smoke or non--smoke. In experiments with real world data, we examined our presented method can be robust for smoke detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Smoke detection / LBP / AdaBoost / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 473, IE2012-148, pp. 57-62, March 2013.
Paper # IE2012-148 
Date of Issue 2013-03-04 (IMQ, IE, MVE, WIT) 
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 IMQ2012-44 IE2012-148 MVE2012-105 WIT2012-54

Conference Information
Committee MVE IE WIT IMQ CQ  
Conference Date 2013-03-11 - 2013-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quality of media communication, welfare, and general topics 
Paper Information
Registration To IE 
Conference Code 2013-03-MVE-IE-WIT-IMQ-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Smoke Detection Method Based on LBP Featured and AdaBoost 
Sub Title (in English)  
Keyword(1) Smoke detection  
Keyword(2) LBP  
Keyword(3) AdaBoost  
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1st Author's Name Yusuke Iida  
1st Author's Affiliation Nagasaki University (Nagasaki Univ.)
2nd Author's Name Hidenori Maruta  
2nd Author's Affiliation Nagasaki University (Nagasaki Univ.)
3rd Author's Name Fujio Kurokawa  
3rd Author's Affiliation Nagasaki University (Nagasaki Univ.)
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Speaker Author-1 
Date Time 2013-03-11 10:35:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IMQ2012-44, IE2012-148, MVE2012-105, WIT2012-54 
Volume (vol) vol.112 
Number (no) no.472(IMQ), no.473(IE), no.474(MVE), no.475(WIT) 
Page pp.57-62 
#Pages 6 
Date of Issue 2013-03-04 (IMQ, IE, MVE, WIT) 

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