文章基本信息

标题：Data-Driven Motion Estimation With Spatial Adaptation
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作者：Associate Professor Alessandra Martins Coelho ; Associate Professor Vania Vieira Estrela
期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2012
卷号：6
期号：1
页码：54-67
出版社：Computer Science Journals
摘要：The pel-recursive computation of 2-D optical flow raises a wealth of issues, such as the treatment of outliers, motion discontinuities and occlusion. Our proposed approach deals with these issues within a common framework. It relies on the use of a data-driven technique called Generalised Cross Validation to estimate the best regularisation scheme for a given pixel. In our model, the regularisation parameter is a general matrix whose entries can account for different sources of error. The motion vector estimation takes into consideration local image properties following a spatially adaptive approach where each moving pixel is supposed to have its own regularisation matrix. Preliminary experiments indicate that this approach provides robust estimates of the optical flow.
关键词：Motion Estimation; Cross-Validation; Regularization; Inverse Problems in Image Processing; Model validation