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Digital particle image velocimetry: a challenge for feature based tracking

Verestóy J., Chetverikov D., Nagy M.

Machine Graphics and Vision

1999

Vol. 8, No. 4

553-569

Motion tracking is an important step of the analysis of flow image sequences. However, Digital Particle Image Velocimetry (DPIV) methods rarely use tracking techniques developed in computer vision: FFT and correlation are usually applied. Two major types of motion estimation algorithms exit in computer vision, namely, the optical flow and the feature based ones. Promising results have been recently obtained by optical flow techniques. In this paper, we examine the applicability of feature tracking algorithms to digital PIV. Two feature based and one optical flow based tracking algorithms are compared. Flow measurement and visualisation resultsfor standard DPIV sequences are presented.