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• W2084605198 abstract "Background models are used for object detection in many computer vision algorithms. In this article, we propose a novel background modeling method based on frequency for spatially varying and time repetitive textured background. The local Fourier transform is applied to construct a pixel-wise representation of local frequency components. We apply our method for object detection in moving background conditions. Experimental results of our frequency-based background model are evaluated both qualitatively and quantitatively." @default.
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• W2084605198 date "2012-10-01" @default.
• W2084605198 modified "2023-09-30" @default.
• W2084605198 title "Space–time spectral model for object detection in dynamic textured background" @default.
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• W2084605198 doi "https://doi.org/10.1016/j.patrec.2012.06.011" @default.
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