Digital particle image velocimetry: a challenge for feature based tracking

• Autorzy: Verestóy J. , Chetverikov D. , Nagy M.
• Konferencja: Euromech 406 colloquium on Image Processing Methods in Applied Mechanics (6-8.05.1999 ; Warsaw, Poland)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

digital PIV; computer vision; feature based motion tracking; optical flow

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 1999
• Tom: Vol. 8, No. 4
• Strony: 553--569
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Verestóy J.

autor

Chetverikov D.

autor

Nagy M.

• Computer and Automation Research Institute, HAS, 1111 Budapest, Kende u.13-17 HUNGARY