Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2016-01-22 10:00
Fine-Grained Classification of Pedestrian using Statistical Information
Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (NU) PRMU2015-124 MVE2015-46
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is fine-grained classification of sex(2 classes), age(5 classes), weight(3 classes), clothing(4 classes) subcategories. The approach , we represent the relation between the subcategories in the graphical model, assuming that there is a correlation for each subcategories. Furthermore, we incorporated the super resolution and division of the bounding box as a pre-processing. The experiment results indicate that the proposed approach has a better classification accuracy comparing to the state-of-the-art. As a result, we confirmed effectiveness of the proposed approach.
Keyword (in Japanese) (See Japanese page) 
(in English) fine-grained classification / deep learning / super resolution / graphical model / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 414, PRMU2015-124, pp. 169-173, Jan. 2016.
Paper # PRMU2015-124 
Date of Issue 2016-01-14 (PRMU, MVE) 
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 PRMU2015-124 MVE2015-46

Conference Information
Committee PRMU IPSJ-CVIM MVE  
Conference Date 2016-01-21 - 2016-01-22 
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 2016-01-PRMU-CVIM-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fine-Grained Classification of Pedestrian using Statistical Information 
Sub Title (in English)  
Keyword(1) fine-grained classification  
Keyword(2) deep learning  
Keyword(3) super resolution  
Keyword(4) graphical model  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yoshihito Kokubo  
1st Author's Affiliation Nagoya University (NU)
2nd Author's Name Yu Wang  
2nd Author's Affiliation Nagoya University (NU)
3rd Author's Name Jien Kato  
3rd Author's Affiliation Nagoya University (NU)
4th Author's Name Kenji Mase  
4th Author's Affiliation Nagoya University (NU)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2016-01-22 10:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2015-124, MVE2015-46 
Volume (vol) vol.115 
Number (no) no.414(PRMU), no.415(MVE) 
Page pp.169-173 
#Pages 5 
Date of Issue 2016-01-14 (PRMU, MVE) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan