Optical Flow Method for Motion Details Estimation

There exist some problems in processing large displacement and estimating motion details with modern optical flow.A new variational optical flow method combining feature details of images is proposed.First,the classical optical flow model is improved by adding the correspondence of the feature points,adopting the adaptive edge-preserving regularization and introducing the occlusion detection function.Second,variational framework together with the Gaussian pyramid and weighted median filter method are applied in the solving process.Finally,abundant experiment results show that the proposed method solves above problems effectively and achieves good results.