An Adaptive Scheme for Estimating Motion (TP-L3)

Author(s) : Hassan Foroosh (University of Central Florida, USA)

Abstract : In this paper, we propose a new scheme for estimating the motion adaptively at each pixel. We assume non-stationary statistics for noise and motion, and propose a blind approach based on using the Generalized Cross Validation (GCV) technique. We thus determine a different level of regularization at each pixel based on the local statistics using GCV. The problems addressed include the preservation of discontinuities, model/data errors, and confidence measures. Experimental results demonstrate the high accuracy of the prposed technique applied to both synthetic and real data.

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