The analysis and development of computed 2D optical flow velocity based on phantom data

Optical Flows is the study of the relationship with image intensity changes in time and the motion of objects. In this paper, the gradient-based optical flow method is studied to determine the velocity of observed objects and the parameters which can influence the accuracy of the velocity are identified and discussed. According to the characteristics of this Algorithm, an improved iterative method is proposed to let the method be more flexible to ground truth data. To understand the principles behind this phenomenon, we create a phantom sequence to analyze and experiment the algorithm from both mathematical and geometrical aspect. The precision of our method can reach an excellent level with a fast computing speed. The experiments on the phantom images showed that the method work quickly and accurately.