Paper Abstract and Keywords |
Presentation |
2008-03-11 13:00
[Tutorial Lecture]
* Kazunori Okada (San Francisco State Univ.) IE2007-324 PRMU2007-308 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Mean shift is a popular robust framework for statistical data analysis using kernel density estimation, originally proposed by Fukunaga and Hostetler in 70's. Recently, due to the work by Cheng and Comaniciu, this method has been re-discovered and successfully applied to a wide range of vision applications. This article provides a comprehensive overview of the basic theory and applications of mean shift, highlighting its practical and theoretical advantages, recent theoretical extensions, as well as vision applications such as image segmentation and object tracking. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Mean shift / Kernel density estimation / Mode seeking / Clustering / Segmentation / Tracking / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 539, PRMU2007-308, pp. 401-414, March 2008. |
Paper # |
PRMU2007-308 |
Date of Issue |
2008-03-03 (IE, 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 |
IE2007-324 PRMU2007-308 |
Conference Information |
Committee |
PRMU IE |
Conference Date |
2008-03-10 - 2008-03-11 |
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(See Japanese page) |
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(See Japanese page) |
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JAIST |
Paper Information |
Registration To |
PRMU |
Conference Code |
2008-03-PRMU-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
* |
Sub Title (in English) |
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Keyword(1) |
Mean shift |
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Kernel density estimation |
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Mode seeking |
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Clustering |
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Segmentation |
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Tracking |
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1st Author's Name |
Kazunori Okada |
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San Francisco State University (San Francisco State Univ.) |
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Speaker |
Author-1 |
Date Time |
2008-03-11 13:00:00 |
Presentation Time |
90 minutes |
Registration for |
PRMU |
Paper # |
IE2007-324, PRMU2007-308 |
Volume (vol) |
vol.107 |
Number (no) |
no.538(IE), no.539(PRMU) |
Page |
pp.401-414 |
#Pages |
14 |
Date of Issue |
2008-03-03 (IE, PRMU) |
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