Motion Estimation Using the Correlation Transform

  title={Motion Estimation Using the Correlation Transform},
  author={Marius Drulea and Sergiu Nedevschi},
  journal={IEEE Transactions on Image Processing},
The zero-mean normalized cross-correlation is shown to improve the accuracy of optical flow, but its analytical form is quite complicated for the variational framework. This paper addresses this issue and presents a new direct approach to this matching measure. Our approach uses the correlation transform to define very discriminative descriptors that are pre-computed and that have to be matched in the target frame. It is equivalent to the computation of the optical flow for the correlation… CONTINUE READING
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