by Stefan Krüger, Andrew Calway.
“This report describes a novel method for estimating motion in image sequences. The approach is based on a multiresolution model in which the motion field is considered to consist of a collage of different size regions with different local motions associated with them. The local motions are defined in terms of an affine model. The estimation procedure consists of a local component in which the affine motion parameters are estimated using a generalised correlation technique and a global component”

http://citeseer.ist.psu.edu/kruger96multiresolution.html

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

by Dirk Robinson and Peyman Milanfar.
“Motivated by the need for fast and accurate motion estimation for compression, storage, and
transmission of video as well as other applications of motion estimation, we present algorithms
for estimating affine motion from video image sequences. Our methods utilize properties
of the Radon transform to estimate image motion in a multiscale framework to achieve
very accurate results.We develop statistical and computational models that motivate
the use of such methods, and demonstrate that it is possible to improve the computational burden of
motion estimation by more than an order of magnitude, while maintaining the degree of accuracy
afforded by the more direct, and less efficient, 2-D methods.”

http://www.soe.ucsc.edu/~milanfar/JMIVpaper.pdf

by Xudong Song, Tihao Chiang, Xiaobing Lee, and Ya-Qin Zhang.

http://research.microsoft.com/china/papers/Phase_Binary_Pyramid_Motion_Estimation_MPEG2_HD
TV.pdf

by Yen-Kuang Chen.
“This thesis offers an integrated perspective of the theory, applications, and implementation
of true motion estimation.”

http://www.geocities.com/ykchen913/thesis.pdf

by Davide Quaglia, Bartolomeo Montrucchio.
The full search algorithm (Sobol Partial Distortion - SPD) presented in this article “uses a new matching
strategy to quickly compute distortion and reduce block matching computation.”

http://citeseer.comp.nus.edu.sg/quaglia01sobol.html

by Ishfaq Ahmad, Senior Member, IEEE, Weiguo Zheng, Member, IEEE, Jiancong Luo, Member, IEEE,
and Ming Liou, Life Fellow, IEEE.
The authors says “the proposed algorithm takes advantage of the correlation between MVs in both
spatial and temporal domains, controls to curb the search, avoids of search stationary regions, and
uses switchable shape search patterns to accelerate motion search.”

http://ranger.uta.edu/~iahmad/journal-papers/j58.pdf