A multiple-frame pel-recursive wiener-based displacement estimation algorithm

Serafim N. Efstratiadis*, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


In this paper, a multiple frame formulation of the pel-recursive Wiener-based displacement estimation algorithm [1] is presented. The derivation of the algorithm is based on the assumption that both the so-called update of the initial estimate of the displacement vector and the linearization error are samples of stochastic processes. A linear least-squares estimate of the update of the initial estimate of the displacement vector from the previous frame to the current is provided, based on w observations in a causal window W of each of the v previous frames. The sensitivity of the pel-recursive algorithms in the areas where occlusion occurs is studied and their performance is improved with adaptive regularization of the inverse problem that is involved. Based on our experiments with typical video-conferencing scenes, we concluded that the multiple frame Wiener-based algorithm performs better than the two-frame Wiener-based pel-recursive algorithm with respect to robustness, stability, and smoothness of the velocity field.

Original languageEnglish (US)
Pages (from-to)51-60
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Nov 1 1989

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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