A novel model of attentive visual motion processing is presented. A new feedforward motion-processing pyramid is described whose motivation lies in the neurobiology of primate motion processes. On this structure the Selective Tuning (ST) model for visual attention is implemented and demonstrated, showing how it can localize and label simple motion patterns. There are three main contributions: 1) we present a new feed-forward motion processing hierarchy, the first to include a multi-level decomposition of processing including local spatial derivatives of velocity as a separate layer; 2) we present examples of how ST can operate on this hierarchy to localize and label motion patterns; and, 3) we present a new solution to aspects of the feature binding problem and show it to be sufficient for the task of grouping motion features into coherent object motion. This feature grouping (or binding) is accomplished using a top-down attentional selection mechanism that does not depend on a single location-based saliency representation.