You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
20 June 1997Multiresolution-based motion estimation
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.
The alert did not successfully save. Please try again later.
David J. Gorsich, Robert E. Karlsen, Grant R. Gerhart, "Multiresolution-based motion estimation," Proc. SPIE 3062, Targets and Backgrounds: Characterization and Representation III, (20 June 1997); https://doi.org/10.1117/12.276684