Selection of Local Optical Flow Models by Means of Residual Analysis
This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric models of local optical flow. These models give rise to parameter estimation problems with highly correlated errors in variables (EIV). Regression is hence performed by equilibrated total least squares. The authors suggest to adaptively select motion models by testing local empirical regression residuals to be in accordance with the probability distribution that is theoretically predicted by the EIV model. Motion estimation with residual-based model selection is examined on artificial sequences designed to test specifically for the properties of the model selection process. These simulations indicate a good performance in the exclusion of inappropriate models and yield promising results in model complexity control.
KeywordsMotion Estimation Residual Analysis Total Little Square Motion Segmentation Model Selector
Unable to display preview. Download preview PDF.
- 4.Schwarz, G.: Estimating the dimension of a model. Annals of Statistics 6(461), 464 (1978)Google Scholar
- 5.Wechsler, H., Duric, Z., Li, F.Y., Cherkassky, V.: Motion estimation using statistical learning theory. PAMI 26(4), 466–478 (2004)Google Scholar
- 7.Jähne, B.: Digital Image Processing. In: Concepts. Algorithms and Scientific Applications, vol. 6, Springer, Berlin (2005)Google Scholar
- 8.Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: DARPA Image Understanding Workshop, pp. 121–130 (1981)Google Scholar
- 9.Scharr, H.: Optimale Operatoren in der Digitalen Bildverarbeitung. PhD thesis, University of Heidelberg, Heidelberg, Germany (2000)Google Scholar
- 11.Mühlich, M.: Estimation in Projective Spaces and Application in Computer Vision. PhD thesis, Johann Wolfgang Goethe Universität Frankfurt am Main (2005)Google Scholar
- 12.Andres, B.: Model selection in optical flow-based motion estimation by means of residual analysis. Diploma thesis, University of Heidelberg (2007)Google Scholar