V.V. Estrela, M.H. Da Silva Bassani, and J.T. de
Motion estimation, principal component regression, and
In this paper, we derive a principal component regression
(PCR) method for estimating the optical flow between
frames of video sequences according to a pel-recursive
manner. This is an easy alternative to dealing with
mixtures of motion vectors due to the lack of too much
prior information on their statistics (although they are
supposed to be normal). The 2D motion vector estimation
takes into consideration local image properties. The main
advantage of the developed procedure is that no
knowledge of the noise distribution is necessary.
Preliminary experiments indicate that this approach
provides robust estimates of the optical flow.