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Global Motion Estimation Using a New Motion Vector Outlier Rejection Algorithm

  • Burak Yıldırım
  • Hakkı Alparslan Ilgın
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 210)

Abstract

Global Motion Estimation (GME) is mainly performed in either pixel or compressed domain. Compressed domain approaches usually utilize existing block matching motion data. On the other hand, in compressed domain based GME, there are many unwanted existing outliers because of noise and foreground objects which are obstacle for GME. In this paper, a new motion vector dissimilarity measure is proposed to remove motion vector (MV)-outliers to provide fast and accurate GME. In experimental results, it is shown that proposed method is fairly successive in terms of both accuracy and complexity compared to the state of the art methods.

Keywords

Dissimilarity Measure Motion Vectors Global Motion Estimation Outlier Rejection 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.İnönü Bulvarı Kirazlıdere Mevkii Süleyman EminUndersecretariat for Defense IndustriesAnkaraTurkey
  2. 2.Electrical and Electronics Eng. Dept.Ankara UniversityTandoğanTurkey

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