Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering

Background estimation and foreground segmentation are important steps in many high-level vision tasks. Many existing methods estimate background as a low-rank component and foreground as a sparse matrix without incorporating the structural information. Therefore, these algorithms exhibit degraded pe...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 12 vom: 15. Dez., Seite 5840-5854
1. Verfasser:	Javed, Sajid (VerfasserIn)
Weitere Verfasser:	Mahmood, Arif, Bouwmans, Thierry, Soon Ki Jung
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2017
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article