Simple method for estimation of global motion parameters using sparse translational motion vector fields

A simple method for the estimation of global motion parameters from sparse translational vector fields is presented. Differential operations on pairs of adjacent motion vectors are used to derive local estimates of rotation and change of scale. A majority vote is then applied to identify global trends corresponding to the required estimates. Key features of the proposed technique are its low complexity and its compatibility with standardised motion estimation tools