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Paper Abstract and Keywords
Presentation 2013-09-03 10:00
Reusing pre-trained classifiers as feature descriptors for adaptation to general dataset
Takashi Bando, Kazuhito Takenaka, Tehrani Hossein, Utsushi Sakai (DENSO) PRMU2013-46 IBISML2013-26
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, various advanced driver assistance systems have been developed, e.g., collision-warning system that detect pedestrians from frontal images captured from car mounted camera and calculate collision risk. To construct such object detector, machine-learning approach is frequently employed because of complexity of target object. However, especially in developing process, training dataset for learning the object detector cannot be fixed until final phase of developing. Although it needs quite high cost, we have to iterate gathering images and annotating object regions to the images for learning the object detector. In this paper, we reused pre-trained pedestrian detectors, which constructed from different dataset respectively, as feature descriptors for adaptation to new dataset. Adapted detectors achieved accurate and robust detection as well as pedestrian detector constructed using the new dataset directly.
Keyword (in Japanese) (See Japanese page) 
(in English) transfer learning / adaptation / pedestrian detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 196, PRMU2013-46, pp. 155-160, Sept. 2013.
Paper # PRMU2013-46 
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 PRMU2013-46 IBISML2013-26

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 Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reusing pre-trained classifiers as feature descriptors for adaptation to general dataset 
Sub Title (in English)  
Keyword(1) transfer learning  
Keyword(2) adaptation  
Keyword(3) pedestrian detection  
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1st Author's Name Takashi Bando  
1st Author's Affiliation DENSO CORPORATION (DENSO)
2nd Author's Name Kazuhito Takenaka  
2nd Author's Affiliation DENSO CORPORATION (DENSO)
3rd Author's Name Tehrani Hossein  
3rd Author's Affiliation DENSO CORPORATION (DENSO)
4th Author's Name Utsushi Sakai  
4th Author's Affiliation DENSO CORPORATION (DENSO)
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Speaker Author-1 
Date Time 2013-09-03 10:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-46, IBISML2013-26 
Volume (vol) vol.113 
Number (no) no.196(PRMU), no.197(IBISML) 
Page pp.155-160 
#Pages 6 
Date of Issue 2013-08-26 (PRMU, IBISML) 

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