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Paper Abstract and Keywords
Presentation 2016-10-06 13:40
Shadow Detection method based on Texture Analysis
Hiroyuki Arai, Haruka Yonemoto, Tesuya Kinebuchi (NTT)
Abstract (in Japanese) (See Japanese page) 
(in English) Shadow detection techniques which can be applied to outdoor images are proposed. By considering photometrical and geometrical model of outdoor scenes, the positions where intensity changes sharply in image can be a good feature to separate shaded background from foreground. In this paper, we show how to evaluate the feature, how to estimate the recent status of shadow, and how to determine the shadow regions. Experiments show the effectiveness of proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Shadow / Foreground detection / Background subtraction / Correlation / Phase only correlation / Voting / /  
Reference Info. ITE Tech. Rep., vol. 40, no. 33, ME2016-122, pp. 19-24, Oct. 2016.
Paper # ME2016-122 
Date of Issue 2016-09-29 (ME, AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-IE ME AIT  
Conference Date 2016-10-06 - 2016-10-07 
Place (in Japanese) (See Japanese page) 
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Paper Information
Registration To ME 
Conference Code 2016-10-IE-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Shadow Detection method based on Texture Analysis 
Sub Title (in English)  
Keyword(1) Shadow  
Keyword(2) Foreground detection  
Keyword(3) Background subtraction  
Keyword(4) Correlation  
Keyword(5) Phase only correlation  
Keyword(6) Voting  
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Keyword(8)  
1st Author's Name Hiroyuki Arai  
1st Author's Affiliation NTT Media Intelligence Laboratories (NTT)
2nd Author's Name Haruka Yonemoto  
2nd Author's Affiliation NTT Media Intelligence Laboratories (NTT)
3rd Author's Name Tesuya Kinebuchi  
3rd Author's Affiliation NTT Media Intelligence Laboratories (NTT)
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Speaker Author-1 
Date Time 2016-10-06 13:40:00 
Presentation Time 30 minutes 
Registration for ME 
Paper # ME2016-122, AIT2016-153 
Volume (vol) vol.40 
Number (no) no.33 
Page pp.19-24 
#Pages
Date of Issue 2016-09-29 (ME, AIT) 


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