Paper Abstract and Keywords |
Presentation |
2017-12-17 17:00
A Background Subtraction Method with an Image Set as a Background Model Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2017-111 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Background subtraction method is one of the approaches for extractingthe regions of moving objects such as people and vehicles fromvideos. In this method, every input image is compared with thepreviously acquired background model, and the pixels different from thebackground model in their appearance (pixel values) are extracted as themoving object regions from the input image. For this reason, it isdifficult to accurately extract moving object regions with respect toimages in which the background fluctuates slightly due to tree swayingor water surface wave. To deal with this problem, it is effective notonly to evaluate the difference in appearance between the input imageand the background model for each pixel but also to evaluate thedifference spatially and temporally. In this paper, we propose a newmethod combining these three evaluations to realize the extraction ofmoving object regions robust to the background fluctuation. Furthermore,we aim to improve the extraction accuracy of moving object regions byappropriately setting the threshold value for each evaluation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Surveillance system / Moving object region detection / Background subtraction / Superpixel / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 362, PRMU2017-111, pp. 65-70, Dec. 2017. |
Paper # |
PRMU2017-111 |
Date of Issue |
2017-12-10 (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) |
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PRMU2017-111 |
Conference Information |
Committee |
PRMU |
Conference Date |
2017-12-16 - 2017-12-17 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2017-12-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Background Subtraction Method with an Image Set as a Background Model |
Sub Title (in English) |
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Keyword(1) |
Surveillance system |
Keyword(2) |
Moving object region detection |
Keyword(3) |
Background subtraction |
Keyword(4) |
Superpixel |
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1st Author's Name |
Yuya Kasahara |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Toru Abe |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Takuo Suganuma |
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Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-12-17 17:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2017-111 |
Volume (vol) |
vol.117 |
Number (no) |
no.362 |
Page |
pp.65-70 |
#Pages |
6 |
Date of Issue |
2017-12-10 (PRMU) |
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