Robust Online Matrix Factorization for Dynamic Background Subtraction
We propose an effective online background subtraction method, which can be robustly applied to practical videos that have variations in both foreground and background. Different from previous methods which often model the foreground as Gaussian or Laplacian distributions, we model the foreground for...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 7 vom: 03. Juli, Seite 1726-1740
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| Auteur principal: |
Yong, Hongwei
(Auteur) |
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| Autres auteurs: |
Meng, Deyu,
Zuo, Wangmeng,
Zhang, Lei,
Hongwei Yong,
Deyu Meng,
Wangmeng Zuo,
Lei Zhang |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2018
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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