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Paper Abstract and Keywords
Presentation 2017-02-18 11:30
Fast Video Background Extraction Based on Tensor Decomposition
Tetsu Suzuki, Koichi Ichige (YNU)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method to reduce computation time in Background Subtraction from Compressive Measurements (BSCM) which is one of the framework of background extraction method in fixed viewpoint video. The conventional BSCM method realized highly accurate background extraction using spatio-temporal correlation in movie tensor. However, the convergence to the optimal solution using the iterative calculation is slow and the total calculation time is long. In the proposed method, we reduce the calculation time while maintaining the reconstruction accuracy by making the update amount of the penalty parameter variable in optimization.
Keyword (in Japanese) (See Japanese page) 
(in English) video processing / background extraction / tensor decomposition / / / / /  
Reference Info. ITE Tech. Rep., vol. 41, no. 4, ME2017-5, pp. 17-20, Feb. 2017.
Paper # ME2017-5 
Date of Issue 2017-02-11 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee ME  
Conference Date 2017-02-18 - 2017-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanto Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2017-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fast Video Background Extraction Based on Tensor Decomposition 
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Keyword(1) video processing  
Keyword(2) background extraction  
Keyword(3) tensor decomposition  
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1st Author's Name Tetsu Suzuki  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Koichi Ichige  
2nd Author's Affiliation Yokohama National University (YNU)
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Speaker Author-1 
Date Time 2017-02-18 11:30:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2017-5 
Volume (vol) vol.41 
Number (no) no.4 
Page pp.17-20 
#Pages
Date of Issue 2017-02-11 (ME) 


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