This paper describes a method for action recognition using a classification algorithm based on mixtures of von Mises distributions processing action signatures. An action signature is a 1D sequence of angles, forming a trajectory, which are extracted from a 2D map of adjusted orientations (subtracting the average orientation) of the gradient of the motion-history image. To obtain the action signature, the authors scan the image along the direction given by the average gradient orientation, selecting only the points for which the motion energy is equal to 1.
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