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Paper Abstract and Keywords
Presentation 2015-12-04 11:20
Image Shrinking Based Computational Cost Reduction of Moving Area Extraction Using Global Motion Estimation with KLT Tracker and Background Subtraction
Shingo Kokami, Takashi Imagawa, Hiroshi Tsutsui, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2015-46
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a computational cost reduction method for moving area
extraction using global motion estimation with KLT tracker and background
subtraction. The proposed method utilizes image shrinking to reduce the
computational cost. However, the accuracy of estimated global motion might
be degraded since the number of good feature points for tracking reduces due
to image shrinking. This degraded motion estimation increase the amount of
noise included in background subtracted images. To alleviate this, the
proposed method utilizes median filter on background subtracted binary
images to reduce noise and also utilizes labeling to remove small regions.
For the evaluation of the proposed method, we extract moving areas using
three video sequences each of which has different camera movement. In
addition, we analyze the accuracy of the proposed moving area extraction
using F-measure by changing parameters of the proposed method such as the
size of median filter and the threshold area size for small region removal.
Keyword (in Japanese) (See Japanese page) 
(in English) Moving area detection / Background subtraction / KLT tracker / Global motion estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 348, SIS2015-46, pp. 95-98, Dec. 2015.
Paper # SIS2015-46 
Date of Issue 2015-11-26 (SIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 SIS2015-46

Conference Information
Committee SIS  
Conference Date 2015-12-03 - 2015-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Matsuya-sensen (Awara city, Fukui) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SoC, Related to RFID, etc. 
Paper Information
Registration To SIS 
Conference Code 2015-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Shrinking Based Computational Cost Reduction of Moving Area Extraction Using Global Motion Estimation with KLT Tracker and Background Subtraction 
Sub Title (in English)  
Keyword(1) Moving area detection  
Keyword(2) Background subtraction  
Keyword(3) KLT tracker  
Keyword(4) Global motion estimation  
1st Author's Name Shingo Kokami  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Takashi Imagawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Hiroshi Tsutsui  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Yoshikazu Miyanaga  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Date Time 2015-12-04 11:20:00 
Presentation Time 20 
Registration for SIS 
Paper # IEICE-SIS2015-46 
Volume (vol) IEICE-115 
Number (no) no.348 
Page pp.95-98 
#Pages IEICE-4 
Date of Issue IEICE-SIS-2015-11-26 

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