Abstract
A technique for the estimation of 2-D normal velocity is
presented. The image sequence is first represented by a family of
velocity-tuned linear filters. Normal velocity, in the individual filter
outputs, is expressed as the local first-order behavior of surfaces of
constant phase. Justification for this is discussed, and it is shown to
provide an effective basis for the local computation of normal velocity.
The resultant approach is local in space-time. It permits multiple
velocity estimates within a single neighborhood, and it yields accurate
velocity estimates that are robust with respect to noise and perspective
deformation
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