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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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 12 vom: 15. Dez., Seite 5840-5854
Auteur principal:	Javed, Sajid (Auteur)
Autres auteurs:	Mahmood, Arif, Bouwmans, Thierry, Soon Ki Jung
Format:	Article en ligne
Langue:	English
Publié:	2017
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article