Multiresolution-based motion estimation

David J. Gorsich; Robert E. Karlsen; Grant R. Gerhart

doi:10.1117/12.276684

20 June 1997 Multiresolution-based motion estimation

David J. Gorsich; Robert E. Karlsen; Grant R. Gerhart

Author Affiliations +

Proceedings Volume 3062, Targets and Backgrounds: Characterization and Representation III; (1997) https://doi.org/10.1117/12.276684
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

The computation of optical flow can play an important role in background characterization and target detectability algorithms since motion is an important cue feature for target detection. A multiresolution gradient-based motion estimation algorithm is implemented based on Horn's approach, where the optical flow field is iteratively determined at each level of the multiresolution pyramid. Different masks and kernels are tested, and an adaptive error minimization approach is taken to deal with areas in the image that violate the optical flow constraint equation.

Citation Download Citation

David J. Gorsich, David J. Gorsich, Robert E. Karlsen, Robert E. Karlsen, Grant R. Gerhart, Grant R. Gerhart, } "Multiresolution-based motion estimation", Proc. SPIE 3062, Targets and Backgrounds: Characterization and Representation III, (20 June 1997); doi: 10.1117/12.276684; https://doi.org/10.1117/12.276684

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