Centre-frequency adaptive IIR temporal filters for phase-based image velocity estimation

This paper proposes an application of adaptive IIR filters to the problem of image velocity estimation. A phase-based motion algorithm is employed to measure velocity locally within an image sequence from the outputs of a set of complex space-time separable band-pass filters. The filters' temporal tunings are adaptively modified on the basis of measured velocity to optimise the representation of image motion. In computer simulations the scheme is shown to provide accurate estimates of velocity even at high levels of image noise.