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Paper Abstract and Keywords
Presentation 2008-03-11 13:00
[Tutorial Lecture] *
Kazunori Okada (San Francisco State Univ.)
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

Conference Information
Committee PRMU IE  
Conference Date 2008-03-10 - 2008-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) JAIST 
Paper Information
Registration To PRMU 
Conference Code 2008-03-PRMU-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English)
Sub Title (in English)  
Keyword(1) Mean shift  
Keyword(2) Kernel density estimation  
Keyword(3) Mode seeking  
Keyword(4) Clustering  
Keyword(5) Segmentation  
Keyword(6) Tracking  
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1st Author's Name Kazunori Okada  
1st Author's Affiliation San Francisco State University (San Francisco State Univ.)
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Speaker
Date Time 2008-03-11 13:00:00 
Presentation Time 90 
Registration for PRMU 
Paper # IEICE-IE2007-324,IEICE-PRMU2007-308 
Volume (vol) IEICE-107 
Number (no) no.538(IE), no.539(PRMU) 
Page pp.401-414 
#Pages IEICE-14 
Date of Issue IEICE-IE-2008-03-03,IEICE-PRMU-2008-03-03 


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