Paper Abstract and Keywords |
Presentation |
2009-03-14 15:30
Object Segmentation Based on Adaptive Background Model Considering Spatio-temporal Features Tatsuya Tanaka, Atsushi Shimada (Kyushu Univ.), Daisaku Arita (ISIT), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2008-282 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose a new method for background modeling considering spatio-temporal features. Our method consists of three complementary approaches. The pixel-level background model uses the probability density function to approximate background model. The PDF is estimated nonparametrically by using Parzen density estimation. The region-level background model is based on the evaluation of the local texture at pixel-level resolution while reducing the effects of variations in lighting. And the frame-level background model detects sudden, global changes in the image and estimates a present background image from input image and original background image. Then, the moving object is extracted by background subtraction. Fusing their approaches realizes robust object detection under varying illumination. Several experiments show the effectiveness of our approach. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Adaptive background model / Illumination change / Parzen density estimation / Radial Reach Correlation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 484, PRMU2008-282, pp. 281-286, March 2009. |
Paper # |
PRMU2008-282 |
Date of Issue |
2009-03-06 (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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PRMU2008-282 |
Conference Information |
Committee |
PRMU |
Conference Date |
2009-03-13 - 2009-03-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tohoku Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2009-03-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Object Segmentation Based on Adaptive Background Model Considering Spatio-temporal Features |
Sub Title (in English) |
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Keyword(1) |
Adaptive background model |
Keyword(2) |
Illumination change |
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Parzen density estimation |
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Radial Reach Correlation |
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1st Author's Name |
Tatsuya Tanaka |
1st Author's Affiliation |
Kyushu University (Kyushu Univ.) |
2nd Author's Name |
Atsushi Shimada |
2nd Author's Affiliation |
Kyushu University (Kyushu Univ.) |
3rd Author's Name |
Daisaku Arita |
3rd Author's Affiliation |
Institute of Systems, Information Technologies and Nanotechnologies (ISIT) |
4th Author's Name |
Rin-ichiro Taniguchi |
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Kyushu University (Kyushu Univ.) |
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Speaker |
Author-1 |
Date Time |
2009-03-14 15:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2008-282 |
Volume (vol) |
vol.108 |
Number (no) |
no.484 |
Page |
pp.281-286 |
#Pages |
6 |
Date of Issue |
2009-03-06 (PRMU) |
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