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Presentation 0000-00-00 00:00
A note on improvement of classification performance based on SVDD including target object detection scheme
Hiroshi Okada, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a new method for improving classification performance based on the SVDD including a target object detection scheme. In the proposed method, regions including the target objects are automatically selected based on the distance between their visual feature vectors and the center of the hypersphere calculated by the SVDD. Then a generation of new positive examples is realized. Thus, even though from training images with various position, direction, scale, and shape of target objects, it can be expected to use only local blocks including the target objects as the new positive examples. Furthermore, by using also local blocks including the selected regions, it can be realized to increase a variation of the positive examples including the target objects. Therefore, the automatic selection of the regions including the target objects and the generation of the new training images based on the obtained regions become possible, and a highly accurate classifier is realized. Experimental results are shown to verify the performance of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) object recognition / classifier / SVDD / hypersphere / / / /  
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2011-02-21 - 2011-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IEICE-IE 
Conference Code 2011-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on improvement of classification performance based on SVDD including target object detection scheme 
Sub Title (in English)  
Keyword(1) object recognition  
Keyword(2) classifier  
Keyword(3) SVDD  
Keyword(4) hypersphere  
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1st Author's Name Hiroshi Okada  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Takahiro Ogawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Miki Haseyama  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Date Time 0000-00-00 00:00:00 
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Registration for IEICE-IE 
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Volume (vol) vol.35 
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