Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
作者:Daniel Cremers, Stefano Soatto
摘要
We present a novel variational approach for segmenting the image plane into a set of regions of parametric motion on the basis of two consecutive frames from an image sequence. Our model is based on a conditional probability for the spatio-temporal image gradient, given a particular velocity model, and on a geometric prior on the estimated motion field favoring motion boundaries of minimal length.
论文关键词:image segmentation, variational methods, motion estimation, Bayesian inference, level set methods, multiphase motion, optic flow
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论文官网地址:https://doi.org/10.1007/s11263-005-4882-4