Motion Estimation Using the Correlation Transform

@article{Drulea2013MotionEU,
  title={Motion Estimation Using the Correlation Transform},
  author={Marius Drulea and Sergiu Nedevschi},
  journal={IEEE Transactions on Image Processing},
  year={2013},
  volume={22},
  pages={3260-3270}
}
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
Highly Cited
This paper has 33 citations. REVIEW CITATIONS

10 Figures & Tables

Topics

Statistics

051015201620172018
Citations per Year

Citation Velocity: 8

Averaging 8 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.