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Fast Motion Estimation Using Spatio Temporal Filtering

  • V. Bruni
  • D. De Canditiis
  • D. Vitulano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4141)

Abstract

In this paper a fast algorithm for motion estimation is presented. It models the temporal averaging of a group of frames as the spatial filtering of the reference one with a suitable Dirac comb function. This equality allows us to estimate a constant affine motion by comparing the phases of the FFT. Experimental results show that the proposed algorithm outperforms the available fast motion estimation techniques in terms of both quality and computational effort.

Keywords

Motion Vector Motion Estimation Video Technology Phase Correlation Reference Block 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • V. Bruni
    • 1
  • D. De Canditiis
    • 1
  • D. Vitulano
    • 1
  1. 1.Istituto per le Applicazioni del Calcolo ”M. Picone” – C.N.R.RomeItaly

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