Experiments in Fluids

, Volume 29, Supplement 1, pp S034–S041 | Cite as

A Kalman tracker for super-resolution PIV

  • K. Takehara
  • R. J. Adrian
  • G. T. Etoh
  • K. T. Christensen

Abstract

We describe a new super-resolution method of particle-image velocimetry (PIV) based on Kalman filtering and χ2-testing. Performance of the “super-resolution KC” method is evaluated by Monte-Carlo simulation and by applying the method to measurements of flow fields recorded in the form of double-pulse/single-frame and single-pulse/double-frame particle images. When the images have good contrast, and depending on the intensity of the velocity gradients present in the flow, the super-resolution KC method is able to extract valid measurements from 80 to 100% of the available image pairs. In these tests, the vector yield is increased by more than five times compared to standard PIV analysis.

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • K. Takehara
    • 1
  • R. J. Adrian
    • 2
  • G. T. Etoh
    • 1
  • K. T. Christensen
    • 2
  1. 1.Department of Civil Engineering Kinki University, JapanJP
  2. 2.Laboratory for Turbulence and Complex Flow Department of Theoretical and Applied Mechanics University of Illinois, Urbana, Illinois 61801, USAUS

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