This paper presents novel video-based algorithms for detection and tracking of spiral waves in a spinning disk reactor. The algorithms are based on spiral wave model and their performance is compared with results predicted by the computational fluid dynamics algorithms for fluid flow. In each frame points on the top of waves are detected and a spiral model fitted to the points. Using experimental video data, the developed models and algorithms allow investigators to estimate the characteristics of wave regimes such as wavelength and inclination angles. Results computed from video data are compared with number predicted by the theoretical model.