Fast and Accurate Motion Estimation using Orientation Tensors and Parametric Motion Models
Published in Motion Estimation, Papers/Documentation
by Gunnar Farneback.
“This paper presents a novel motion estimation algorithm, which gives excellent results on both counts.
The algorithm starts by computing 3D orientation tensors from the image sequence. These are
combined under the constraints of a parametric motion model to produce velocity estimates. Evaluated
on the well-known Yosemite sequence, the algorithm shows an accuracy which is substantially better
than for previously published methods. Computationally the algorithm is simple and
can be implemented by means of separable convolutions, which also makes it fast.”
http://www.imt.liu.se/mi/Publications/pdfs/gf2000a.pdf
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Posted in July 10th, 2007
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