An adaptive iterative SVD method for background subtraction that updates singular vectors efficiently, supports block-wise updates, and achieves state-of-the-art performance in evaluations.
Computer Vision and Image Understanding 122, 22–34 (2014)
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Background Subtraction using Adaptive Singular Value Decomposition
An adaptive iterative SVD method for background subtraction that updates singular vectors efficiently, supports block-wise updates, and achieves state-of-the-art performance in evaluations.