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Integrated segmentation and depth ordering of motion layers in image sequences

机译:图像序列中运动层的集成分割和深度排序

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摘要

We describe a method to segment and depth order motion layers simultaneously in an image sequence. Previous approaches to motion segmentation and layering have tended to ignore the depth ordering issue or treat it as a post-processing operation. We argue here that motion estimation and segmentation are crucially dependent on depth order and hence that the latter should form an integral part of any layering scheme. Using an explicit model of boundary ownership allowing simultaneous assignment of motions to regions and extraction of depth order, the method fuses colour region segmentations with motion estimates obtained via block correlation.
机译:我们描述了一种在图像序列中同时对运动层进行分割和深度排序的方法。先前的运动分割和分层方法倾向于忽略深度排序问题,或将其视为后处理操作。在这里,我们认为运动估计和分割至关重要地取决于深度顺​​序,因此深度顺序应构成任何分层方案的组成部分。该方法使用边界所有权的显式模型,允许同时将运动分配给区域并提取深度顺序,该方法将颜色区域分割与通过块相关性获得的运动估计融合在一起。

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