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This paper, for the first time, introduces a multiple-class boosting scheme (MBS) to combine depth motion maps (DMMs) and completed local binary patterns (CLBP) for action recognition. DMMs derive from projecting depth frames onto three orthogonal Cartesian planes (front, side and top) and characterize the motion energy of an action, on which the CLBP features are further extracted. And then a new...
Feature descriptor based methods (e.g. Local Binary Patterns, Local Ternary Patterns) have gained encouraging results in face recognition. However one needs to manually set the threshold in Local Ternary Patterns (LTP). The threshold in LTP is not data adaptive and not robust to noise. In some cases, we may not give a suitable threshold for LTP. Inspired by Weber's Law, here a data adaptive threshold...
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