ABSTRACT
This chapter presents a critical overview and analysis of existing approaches for the estimation of fluid flow. In the case of optical flow estimation through tracing particles, two main methodologies have been developed: the particle image velocimetry (PIV) method and the particle tracking velocimetry (PTV) method. Based on recent trends, the number of temporary rivers will likely increase in the near future, due to the impacts of human activity that cause increased water abstraction. A more review on the influence of seeding particles parameters in PIV and PTV approaches, for the case of a turbulent fluid flow is presented in Hadad and GurkaIn. In any particular approach, particle-based methodologies assume a certain type and density of the particles beyond the methodology for the estimation of the optical flow field itself. Another approach for estimating the optical flow field of fluids relies on the stochastic modelling of the intensity displacement field within the optical view, often using a Bayesian framework.
