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Paper Abstract and Keywords
Presentation 2016-02-23 10:00
A Hybrid Image Classifier using a Cascade Classifier and a PSO-Optimized CNN
Takuto Homma, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo), Junpei Kawasaki, Ryosuke Chaya, Toshihiko Shindo (IST) ITS2015-75 IE2015-117
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, convolutional neural network (CNN) has shown its great performance and is used for various tasks. However, there are many hyper-parameters to optimize in CNN. Besides, CNN is not always 100% accurate. In this paper, We have developed methods (1) to optimize CNN using one of the evolutionary method, particle swarm optimization (PSO); and (2) to define con fidence of CNN using output probabilities to achieve a hybrid classifi er framework by combining CNN and a traditional cascade classifi er. As a result, we have improved the accuracy of Alexnet from 81.7% to 94.6%. Finally, we implemented our recognition system into a smartphone application called "Seat Selfi e" aiming at seat belt image recognition.
Keyword (in Japanese) (See Japanese page) 
(in English) Convolutional neural network / Particle swarm optimization / Con dence-based rejection / Hybrid classifi er / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 459, IE2015-117, pp. 235-240, Feb. 2016.
Paper # IE2015-117 
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 ITS2015-75 IE2015-117

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) A Hybrid Image Classifier using a Cascade Classifier and a PSO-Optimized CNN 
Sub Title (in English)  
Keyword(1) Convolutional neural network  
Keyword(2) Particle swarm optimization  
Keyword(3) Con dence-based rejection  
Keyword(4) Hybrid classifi er  
Keyword(5)  
Keyword(6)  
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1st Author's Name Takuto Homma  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Toshihiko Yamasaki  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Kiyoharu Aizawa  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Junpei Kawasaki  
4th Author's Affiliation HAKUHODO i-studio Inc. (IST)
5th Author's Name Ryosuke Chaya  
5th Author's Affiliation HAKUHODO i-studio Inc. (IST)
6th Author's Name Toshihiko Shindo  
6th Author's Affiliation HAKUHODO i-studio Inc. (IST)
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Speaker Author-1 
Date Time 2016-02-23 10:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2015-75, IE2015-117 
Volume (vol) vol.115 
Number (no) no.458(ITS), no.459(IE) 
Page pp.235-240 
#Pages 6 
Date of Issue 2016-02-15 (ITS, IE) 

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