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This paper presents a novel and efficient texture-based method for modeling the background and detecting moving objects from a video sequence. Each pixel is modeled as a group of adaptive local binary pattern histograms that are calculated over a circular region around the pixel. The approach provides us with many advantages compared to the state-of-the-art. Experimental results clearly justify our model.
Motion, texture, background subtraction, local binary pattern.

M. Pietik?inen and M. Heikkil?, "A Texture-Based Method for Modeling the Background and Detecting Moving Objects," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 28, no. , pp. 657-662, 2006.
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