<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "SVD-Based Tensor-Completion Technique for Background Initialization"^^ . "Extracting the background from a video in the presence of various moving patterns is the focus of several background-initialization approaches. To model the scene background using rank-one matrices, this paper proposes a background-initialization technique that relies on the singular-value decomposition (SVD) of spatiotemporally extracted slices from the video tensor. The proposed method is referred to as spatiotemporal slice-based SVD (SS-SVD). To determine the SVD components that best model the background, a depth analysis of the computation of the left/right singular vectors and singular values is performed, and the relationship with tensor-tube fibers is determined. The analysis proves that a rank-1 matrix extracted from the first left and right singular vectors and singular value represents an efficient model of the scene background. The performance of the proposed SS-SVD method is evaluated using 93 complex video sequences of different challenges, and the method is compared with state-of-the-art tensor/matrix completion-based methods, statistical-based methods, search-based methods, and labeling-based methods. The results not only show better performance over most of the tested challenges, but also demonstrate the capability of the proposed technique to solve the background-initialization problem in a less computational time and with fewer frames. © 1992-2012 IEEE."^^ . "2018" . . "27" . "6" . . "Institute of Electrical and Electronics Engineers Inc."^^ . . . "IEEE Transactions on Image Processing"^^ . . . "10577149" . . . . . . . . . . . . . . . . "Y."^^ . "Ruichek"^^ . "Y. Ruichek"^^ . . "N."^^ . "Kamel"^^ . "N. Kamel"^^ . . "I."^^ . "Kajo"^^ . "I. Kajo"^^ . . "A.S."^^ . "Malik"^^ . "A.S. Malik"^^ . . . . . "HTML Summary of #10286 \n\nSVD-Based Tensor-Completion Technique for Background Initialization\n\n" . "text/html" . .