Vania Vieira Estrela, Luís Antonio Rivera, Paulo Cesar Beggio, Ricardo Tadeu Lopes, Vania Vieira Estrela, Ricardo Tadeu Lopes, Vania Vieira Estrela, Vania Vieira Estrela, Vania Vieira Estrela, Vania Vieira Estrela. Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation. In 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 12-15 October 2003, Sao Carlos, Brazil. pages 331-338, IEEE Computer Society, 2003. [doi]
The computation of 2-D optical flow by means of regularized pel-recursive algorithms raises a host of issues, which include the treatment of outliers, motion discontinuities and occlusion among other problems. We propose a new approach which allows us to deal with these issues within a common framework. Our approach is based on the use of a technique called Generalized Cross-Validation to estimate the best regularization scheme for a given pixel. In our model, the regularization parameter is a matrix whose entries can account for diverse sources of error. The estimation of the motion vectors takes into consideration local properties of the image following a spatially adaptive approach where each moving pixel is supposed to have its own regularization matrix. Preliminary experiments indicate that this approach provides robust estimates of the optical flow.