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Paper Abstract and Keywords
Presentation 2013-09-03 09:30
Reducing False Positive Rate for Viola-Jones Method in Hand Detection
Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2013-45 IBISML2013-25
Abstract (in Japanese) (See Japanese page) 
(in English) The Viola-Jones object detector is a machine learning based method which combines Haar-like features with AdaBoost classifier. It is known that this method is the mainstream in face detections due to its high performance of both detection speed and precision. However, the false positive rate increases dramatically when this approach is applied to detect hands in a sign language video which includes other skin color parts such as faces or arms. In this paper, we analyze the reason for mis-detecting of these points and propose a new method to reduce the false positive rate. Experimental results have shown that our method is more robust to hand motion and decreases the false positive rate significantly.
Keyword (in Japanese) (See Japanese page) 
(in English) Viola-Jones / Machine Learning / AdaBoost / Haar-like features / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 196, PRMU2013-45, pp. 149-153, Sept. 2013.
Paper # PRMU2013-45 
Date of Issue 2013-08-26 (PRMU, IBISML) 
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 PRMU2013-45 IBISML2013-25

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2013-09-02 - 2013-09-03 
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 2013-09-PRMU-IBISML-CVIM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reducing False Positive Rate for Viola-Jones Method in Hand Detection 
Sub Title (in English)  
Keyword(1) Viola-Jones  
Keyword(2) Machine Learning  
Keyword(3) AdaBoost  
Keyword(4) Haar-like features  
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1st Author's Name Shuqiong Wu  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Hiroshi Nagahashi  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2013-09-03 09:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-45, IBISML2013-25 
Volume (vol) vol.113 
Number (no) no.196(PRMU), no.197(IBISML) 
Page pp.149-153 
#Pages 5 
Date of Issue 2013-08-26 (PRMU, IBISML) 

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