Particle-tracking velocimetry with new algorithms

By K. Ohmi, Han Li. 2000

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Particle imaging techniques for microfabricated fluidic systems (2003, methodology): “Several approaches have been adopted to track individual particles in flow fields with high seeding density (Guezennec et al. 1994; Stitou and Reithmuller 2001; Cowen et al. 2001; Ohmi and Li 2000).”
On the resolution limit of digital particle image velocimetry (2012, methodology): “Although the statistical PTV approaches developed by Ohmi and Li (2000) can cope with large seeding concentrations up to 0.12 particles per pixel, the seeding concentration should be lowered to allow for a reliable detection of corresponding particle pairs.”
Higher order multi-frame particle tracking velocimetry (2013, methodology): “Therefore, we use the probability approach proposed by Ohmi and Li (2000) in combination with a temporal predictor concept based on Malik et al. (1993).”
Two-frame 3D particle tracking (2006, methodology): “(28) Ohmi and Li (2000) have proposed a different updating scheme for the no-match probability P i , which was found to yield very little improvement in our tests.”
On the uncertainty of digital PIV and PTV near walls (2012, methodology): “For elaborate particle tracking algorithms, high seeding concentrations are no longer a limitation (Ohmi and Li 2000).”