Construction of the Parameter Estimates of Optical Flow Using of the Functionalization Method

The task of image motion analysis is over forty years old, but it has not lost its relevance. Optical flow competitions regarding the robust vision challenge are still commonly held. The main issues arise because images usually contain noise or differ in brightness, spectral range and orientation scale, etc. A scene image motion analysis is formulated via the task of constructing an optical flow created by a sequence of images. Optical flow is a velocity field with two components for each image point. It can be restored by matching a sequence of image frames. This paper considers approaches to solving the problem of determining parameters of optical flow based on the ideas of the quality criterion functionalization. For examining our method, we used the Middlebury optical flow benchmark.