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Applying Feature Based Tracking to Particle Image Velocimetry
by
Judit Verestóy
Computer and Automation Research Institute, Hungary, Budapest, Kende u. 13-17
Motion tracking is an important step of the analysis of flow image sequences. However, PIV techniques rarely use tracking methods developed in computer vision, they usually work with FFT and correlation based methods. Two major types of motion estimation algorithms exist: the optical flow and the feature based ones. Promising results have been obtained by applying optical flow techniques to PIV. The applicability of feature based tracking algorithms to PIV images is examined in this article. Two tracking algorithms are considered and preliminary flow visualisation results for standard PIV sequences are presented.
Date received: January 28, 1999
Copyright © 1999 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cacp-16.