TY  - JOUR
JF  - IEEE Transactions on Image Processing
A1  - Kajo, I.
A1  - Kamel, N.
A1  - Ruichek, Y.
A1  - Malik, A.S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044044731&doi=10.1109%2fTIP.2018.2817045&partnerID=40&md5=56caf57c232f6ddd50c175199cdc9746
VL  - 27
Y1  - 2018///
IS  - 6
N2  - 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.
ID  - scholars10286
KW  - Computational complexity; Feature extraction; Image converters; Image reconstruction; Matrix converters; Tensile stress; Tensors
KW  -  Background initialization; Matrix decomposition; Spatio-temporal slices; Spatiotemporal phenomena; Tensor completion
KW  -  Singular value decomposition
EP  - 3126
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 10577149
N1  - cited By 29
TI  - SVD-Based Tensor-Completion Technique for Background Initialization
SP  - 3114
AV  - none
ER  -