Adaptive multiple-input constrained pel-recursive displacement estimation

Serafim N. Efstratiadis, Aggelos K Katsaggelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this paper, an adaptive multiple-input pel-recursive displacement estimation algorithm is presented. The displacement vector field (DVF) is estimated by minimizing the linearized displaced frame difference (DFD) using v submasks of causal mask around the working point. Then, v corresponding systems of equations are formed and the set theoretic regularization approach that is followed results in a weighted constrained least-squares estimation of the DVF by using information about the variance of the linearization error (noise) and the solution. The prior information about the solution is incorporated into the algorithm using a causal "oriented smoothness" constraint (OSC) which also provides a spatial prediction model for the estimated DVF. The improved performance of the proposed algorithm with respect to accuracy, robustness to occlusion and smoothness of the estimated DVF is demonstrated.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages245-248
Number of pages4
ISBN (Electronic)0780305329
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/TerritoryUnited States
CitySan Francisco
Period3/23/923/26/92

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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