Adaptive Robust Estimation for Filtering Motion Vectors

Abstract

We propose an adaptive robust estimation algorithm for filtering motion vectors. We first extract motion vectors from consecutive images by using size-variable block matching and then apply the extracted motion vectors to adaptive robust estimation to filter them. The proposed robust estimation defines a sigmoid weight function, and eliminates outliers by gradually tuning the sigmoid function to the hard limit as the error between model parameters and input data is minimized.