Himomodel.si

Motion hierarchy structure

Our model is comprised of three processing stages, as shown in the Figure. The task of the lowest stage (layers L0 and L1) is the extraction of relatively basic motion features. The middle stage implements hierarchical compositional structure, and consists of multiple layers, L2 to LN. The layered structure decreases the complexity of the learning process due to limited receptive field in which the neighborhood of each element is observed. In particular, such a scheme avoids the need to jointly estimate a rather large number of parameters for all layers by decomposing the learning into sequence of layer-wise training epochs. The topmost stage provides discriminative capabilities using SVM classification on the outputs of the middle, compositional stage. Each layer Li is associated with its dictionary, i. While the 1 is fixed, the higher layer dictionaries are obtained through learning.

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