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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 7 vom: 03. Juli, Seite 1726-1740
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| 1. Verfasser: |
Yong, Hongwei
(VerfasserIn) |
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| Weitere Verfasser: |
Meng, Deyu,
Zuo, Wangmeng,
Zhang, Lei,
Hongwei Yong,
Deyu Meng,
Wangmeng Zuo,
Lei Zhang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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