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Foreground segmentation has been widely used in many computer vision applications, and background substraction(BS) is one of most widely used routines. In order to achieve satisfactory completeness and robustness of foreground, in this paper, we propose a method which uses motion-based contours to enhance the existing kinds of BS algorithms in the area which is low contrast. First we obtain key regions...
Four-parameter sine wave fitting based on the least square error principle is nonlinear. An iterative approach to these nonlinear equations requires solving matrix equations in each round. The Gram–Schmidt orthogonalization (GSO) is employed here to speed up the solving of these matrix equations and to ensure the robustness of the procedure. The factorization of the normal matrix by GSO can be achieved...
Matrix equations need to be solved in each iterative round of four-parameter sine wave fitting. To ensure the robustness, normalizing factors rendering the minimum condition number (MCN) of the normal equation coefficient matrix was studied for the practical scenario (large sample size, and frequency well within [0, Nyquist Frequency]). Two parameter models, effective parameter model (EPM) and peak...
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