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Paper Abstract and Keywords
Presentation 2014-06-20 11:00
Pedestrian Counting in a Fixed Camera by Combining Regression with Pass Detection
Yasutomo Kawanishi, Nagisa Shimizu, Masayuki Mukunoki, Michihiko Minoh (Kyoto Univ.) PRMU2014-30
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we address a problem of pedestrian counting in a surveillance video captured by a fixed camera in a shopping mall. When we count pedestrians manually, it is supposed to count pedestrians who pass through a gate (Virtual Gate: VG) set virtually in the real 3D world. Without depending on pedestrian tracking nor detection, some existing methods realize accurate pedestrian counting by regression with features extracted from the regions of pedestrians passing through the line in the video (Line of Interest: LOI) corresponds to the VG. However, in case where there are multiple routes in a camera view, wrong counts are due to pedestrians that do not pass through a VG because the body parts of them may pass the corresponding LOI. We propose the pedestrian counting method that combines estimation of the numbers of pedestrians via regression with pass detection via blob tracking. We experimented using some surveillance videos, and confirmed the effectiveness of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Pedestrian Counting / Regression / Pass Detection / Surveillance Camera / Blob Tracking / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 90, PRMU2014-30, pp. 49-54, June 2014.
Paper # PRMU2014-30 
Date of Issue 2014-06-12 (PRMU) 
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 PRMU2014-30

Conference Information
Committee PRMU  
Conference Date 2014-06-19 - 2014-06-20 
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 2014-06-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pedestrian Counting in a Fixed Camera by Combining Regression with Pass Detection 
Sub Title (in English)  
Keyword(1) Pedestrian Counting  
Keyword(2) Regression  
Keyword(3) Pass Detection  
Keyword(4) Surveillance Camera  
Keyword(5) Blob Tracking  
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Keyword(7)  
Keyword(8)  
1st Author's Name Yasutomo Kawanishi  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Nagisa Shimizu  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Masayuki Mukunoki  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Michihiko Minoh  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2014-06-20 11:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2014-30 
Volume (vol) vol.114 
Number (no) no.90 
Page pp.49-54 
#Pages 6 
Date of Issue 2014-06-12 (PRMU) 

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