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Abstract: this paper should be helpful to researchers and practitioners working in the fields of video compression and processing, as well as in computer vision. Although the understanding of issues involved in the computation of motion has significantly increased over the last decade, we are still far from generic, robust, real-time motion estimation algorithms. The selection of the best motion estimator is still highly dependent on the application. Nevertheless, a broad variety of estimation models,... (Update)
Context of citations to this paper: More
...of very different motion estimation algorithms have been proposed in the literature. Detailed reviews are given by [1] 4] 6] 9] [18], 14] 19] 20] These algorithms have been developed for various applications such as image sequence analysis, machine vision,...
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BibTeX entry: (Update)
C. Stiller, and J. Konrad, "Estimating Motion in Image Sequences, A tutorial on modeling and computation of 2D motion," IEEE Signal Process. Mag., vol. 16, pp. 70--91, 1999. http://citeseer.ist.psu.edu/stiller99estimating.html More
@misc{ stiller99estimating,
author = "C. Stiller and J. Konrad",
title = "Estimating Motion in Image Sequences, A tutorial on modeling and computation
of 2D motion",
text = "C. Stiller, and J. Konrad, Estimating Motion in Image Sequences, A tutorial
on modeling and computation of 2D motion, IEEE Signal Process. Mag., vol.
16, pp. 70--91, 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/stiller99estimating.html" }
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Documents on the same site (http://www.inrs-telecom.uquebec.ca/users/konrad/publications.html): More
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