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Both methods use motion controls for the "Ground Pound" move.
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The authors of [7] present a number of region-based affine-parameter clustering methods using motion vector and intensity matching to align motion boundaries with real object boundaries.
The motion activity method uses motion activity as a variable for thresholding.
Thus, the baseline method uses motion vectors to cluster human regions.
As the error concealment may not always be effective, the proposed method uses motion intensity and luminance discontinuity measures to estimate the number of impaired macroblocks for which error concealment remains ineffective.
The performed experiments have shown that the proposed method using motion estimation of intensity images can be used to produce flow fields for qualitative analysis.
Methods Using time-motion analysis (TMA), five players from four positional groups (front-row forwards, back-row forwards, inside backs and outside backs) were assessed.
Li and Lai [28] described methods for video partitioning using motion estimation, where the motion vectors are extracted using optical flow computations.
The motion-based method uses hand motion in depth space.
The method used only motion information for classification.
Their method uses cloud motion derived from consecutive geostationary satellite images.
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