Start Date
6-29-2016 4:00 PM
End Date
6-29-2016 6:00 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Bung, D., Valero, D. (2016). Application of the Optical Flow Method to Velocity Determination in Hydraulic Structure Models. In B. Crookston & B. Tullis (Eds.), Hydraulic Structures and Water System Management. 6th IAHR International Symposium on Hydraulic Structures, Portland, OR, 27-30 June (pp. 240-249). doi:10.15142/T3150628160853 (ISBN 978-1-884575-75-4).
Abstract
Optical flow estimation is used in Computer Vision for detection of moving obstacles in a sequence of images. The optical flow (OF) is defined as the displacement of brightness patterns between two sequent images. In this paper,this method is applied to high-speed images taken in hydraulic structure models for determination of velocity fields.Water is seeded with tracer particles in two cases and is self-aerated in a third case. It will be shown that the OF method gives valuable results which compare well to other velocity measurements, e.g. by Particle ImageVelocimetry. The OF method is generally more time-consuming compared to PIV, but an advantage is given by the density of information when using a so-called global method as velocity information is obtained at every pixel location.
Included in
Application of the Optical Flow Method to Velocity Determination in Hydraulic Structure Models
Portland, OR
Optical flow estimation is used in Computer Vision for detection of moving obstacles in a sequence of images. The optical flow (OF) is defined as the displacement of brightness patterns between two sequent images. In this paper,this method is applied to high-speed images taken in hydraulic structure models for determination of velocity fields.Water is seeded with tracer particles in two cases and is self-aerated in a third case. It will be shown that the OF method gives valuable results which compare well to other velocity measurements, e.g. by Particle ImageVelocimetry. The OF method is generally more time-consuming compared to PIV, but an advantage is given by the density of information when using a so-called global method as velocity information is obtained at every pixel location.