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.

Date Published: 20 June 1997
PDF: 6 pages
Proc. SPIE 3062, Targets and Backgrounds: Characterization and Representation III, (20 June 1997); doi: 10.1117/12.276684

Published in SPIE Proceedings Vol. 3062:
Targets and Backgrounds: Characterization and Representation III
Wendell R. Watkins; Dieter Clement, Editor(s)