In this paper

a computation technology of variational optical flow based on Image-and Flow-driven is proposed.The idea to obtain the data term is to use the combination of gray and gradient constancy assumption

the combination of local and global constraint

as well as the regularization factor

to improve the accuracy.A joint image-and flow-drive anisotropic smoothing strategy is introduced to design the smooth term

linking the data term and smooth term closely.And then

the speed of the optical flow can be controled by the design of the eigenvalues of the diffusion tensor.Finally

the method utilizes the multi-scale hierarchical refinement strategy to handle large displacements problem.The experiment results prove that the model has a good computation effect of optical flow to cope with the problem of additive illumination changes and the boundaries of the moving objects with complicated backgrounds.