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- W2027111569 abstract "We propose an adaptive approach for salient motion in dynamic scenes, which models each video clip of ¦O frames with the dynamic texture(DT) model in a holistic manner. The order of the DT model is chosen adaptively by evaluating the increment of singular entropy. A simple and computationally efficient formula is proposed to measure observability. The formula is related to time-domain eigenvalues and eigenvectors, but the eigenvalue decomposition operation is not needed. The foreground-background segmentation can be obtained by thresholding the observability value of each pixel location. Our proposed method is tested on a various sequences set. Its computational efficiency outperforms the state-of-the-art methods and its equal error rate (EER) is lower than most current methods." @default.
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- W2027111569 date "2012-11-01" @default.
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- W2027111569 title "An Adaptive Approach for Salient Motion in Dynamic Scenes" @default.
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- W2027111569 doi "https://doi.org/10.1109/mines.2012.58" @default.
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