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Paper Abstract and Keywords
Presentation 2014-08-01 10:20
Personal Safety Information System with the Face Recognition and Clustering
Wang Hanzheng, Kyota Aoki (Utsunomiya Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) When a large-scale disaster happens, family separated without any preparation. In shelters, we need to provide the safety information about the families. With the safety information, we decrease the useless and the meaningless activities of people. This increases the QOL in the shelters. In the case, people have their family images. This system using face recognition function. The function is based on PCA (Principal Component Analysis), and PCA algorithm can get precision features. With these features, face recognition function to execute. In the case, much peoples cannot access any face images of their families. The system using face clustering function of the AAM (Active Appearance Model). We use AAM to find the geometric feature. Counting the distance between features, and face clustering by these distance. In the cluster, compared with the center point, nearest face image became center face image.
Keyword (in Japanese) (See Japanese page) 
(in English) Face Recognition / Face clusering / AAM / ISODATA / / / /  
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Conference Information
Committee IEICE-IE ME IPSJ-AVM CE  
Conference Date 2014-08-01 - 2014-08-01 
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Paper Information
Registration To IEICE-IE 
Conference Code 2014-08-IE-ME-AVM-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Personal Safety Information System with the Face Recognition and Clustering 
Sub Title (in English)  
Keyword(1) Face Recognition  
Keyword(2) Face clusering  
Keyword(3) AAM  
Keyword(4) ISODATA  
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1st Author's Name Wang Hanzheng  
1st Author's Affiliation Graduate School of Engineering Utsunomiya University (Utsunomiya Univ.)
2nd Author's Name Kyota Aoki  
2nd Author's Affiliation Graduate School of Engineering Utsunomiya University (Utsunomiya Univ.)
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Speaker Author-1 
Date Time 2014-08-01 10:20:00 
Presentation Time 25 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.38 
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