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Method and system for crowd segmentation

机译:人群分割方法和系统

摘要

Aspects of the disclosure provide a method for crowd segmentation that can globally optimize crowd segmentation of an input image based on local information of the input image. The method can include receiving an input image of a site, initializing a plurality of hypothesis based on the input image, dividing the input image into a plurality of patches, calculating an affinity measure of one or more patches to a hypothesis based on a partial response of the patches to a whole body classifier of the hypothesis that includes a combination of weak classifiers, and optimizing assignments of the plurality of patches to the plurality of hypothesis based on the affinity measures of the plurality of patches to the plurality of hypothesis.
机译:本公开的各方面提供了一种用于人群分割的方法,该方法可以基于输入图像的局部信息来全局地优化输入图像的人群分割。该方法可以包括:接收站点的输入图像;基于输入图像来初始化多个假设;将输入图像划分为多个小块;基于部分响应来计算一个或多个小块对假设的亲和力度量。将所述补丁的所述假设分配给包括弱分类器的组合的所述假设的全身分类器,并且基于所述多个补丁对所述多个假设的亲和度来优化所述多个补丁对所述多个假设的分配。

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