Abstract
A 'region-based' approach to the problem of motion estimation and segmentation in video sequences is presented. The devised algorithm requires an initial still-picture partition and a dense optical flow: affine region motion parameters are robustly estimated from pixel motion vectors on color- homogenous regions, which are further merged on a motion- homogeneity criterion, and temporally tracked. Computer simulation results and comparisons with other approaches are given. Applications to object-based representation, manipulation and coding as well as indexing of video are discussed
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