Paper Abstract and Keywords |
Presentation |
2017-10-06 08:55
High Precision Background Subtraction from Compressive Measurements Based on Tensor RPCA Tetsu Suzuki, Koichi Ichige (Yokohama National Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a method to improve reconstruction precision in Background Subtraction from Compressive Measurements (BSCM) which is one of the framework of background extraction methods for fixed viewpoint video. The conventional BSCM method realized highly accurate reconstruction and background extraction using spatio-temporal correlation in video tensor. However, the foreground component in reconstructed video becomes unclear and the precision deteriorates. We improve the reconstruction precision by employing multiple updates of variables in optimization. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
video processing / background extraction / tensor RPCA / / / / / |
Reference Info. |
ITE Tech. Rep., vol. 41, no. 33, ME2017-110, pp. 81-86, Oct. 2017. |
Paper # |
ME2017-110 |
Date of Issue |
2017-09-29 (ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
ME AIT IEICE-IE |
Conference Date |
2017-10-05 - 2017-10-06 |
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(See Japanese page) |
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Paper Information |
Registration To |
ME |
Conference Code |
2017-10-ME-AIT-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
High Precision Background Subtraction from Compressive Measurements Based on Tensor RPCA |
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Keyword(1) |
video processing |
Keyword(2) |
background extraction |
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tensor RPCA |
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1st Author's Name |
Tetsu Suzuki |
1st Author's Affiliation |
Yokohama National University (Yokohama National Univ.) |
2nd Author's Name |
Koichi Ichige |
2nd Author's Affiliation |
Yokohama National University (Yokohama National Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-10-06 08:55:00 |
Presentation Time |
25 minutes |
Registration for |
ME |
Paper # |
ME2017-110, AIT2017-169 |
Volume (vol) |
vol.41 |
Number (no) |
no.33 |
Page |
pp.81-86 |
#Pages |
6 |
Date of Issue |
2017-09-29 (ME, AIT) |