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Particle Image Velocimetry by Feature Tracking

  • Dmitry Chetverikov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2124)

Abstract

Particle Image Velocimetry (PIV) is a popular approach to flow visualisation in hydro- and aerodynamic studies and applications. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence. In this paper, two efficient feature tracking algorithms are customised and applied to PIV. The algorithmic solutions of the application are described. Techniques for coherence filtering and interpolation of a velocity field are developed. Experimental results are given, demonstrating that the tracking algorithms offer Particle Image Velocimetry a good alternative to the existing techniques.

Keywords

motion analysis particle image velocimetry feature tracking 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Dmitry Chetverikov
    • 1
  1. 1.Computer and Automation Research InstituteBudapestHungary

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