Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow

Thomas J. Burns; Steven K. Rogers; Dennis W. Ruck; Mark E. Oxley

doi:10.1117/12.172250

1 July 1994 Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow

Thomas J. Burns, Steven K. Rogers, Dennis W. Ruck, Mark E. Oxley

Author Affiliations +

Optical Engineering, Vol. 33, Issue 7, (July 1994). https://doi.org/10.1117/12.172250

Abstract

A wavelet-based system for computing localized velocity fields associated with time-sequential imagery is described. The approach combines the mathematical rigor of the multiresolution wavelet analysis with well-known spatiotemporal frequency flow computation principles. The foundation of the approach consists of a unique, nonhomogeneous multiresolution wavelet filter bank designed to extract moving objects in a 3-D image sequence based on their location, size, and speed. The filter bank is generated by an unconventional 3-D subband coding scheme that generates 20 orientation-tuned filters at each spatial and temporal resolution. The frequency responses of the wavelet filter bank are combined using a least-squares method to assign a velocity vector to each spatial location in an image sequence. Several examples are provided to demonstrate the flow computation abilities of the wavelet vector motion sensor.

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Thomas J. Burns, Steven K. Rogers, Dennis W. Ruck, and Mark E. Oxley "Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow," Optical Engineering 33(7), (1 July 1994). https://doi.org/10.1117/12.172250

Published: 1 July 1994

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