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DISTINGUISHING FOREGROUND AND BACKGROUND WITH INFRARED IMAGING

机译:红外成像区分背景和背景

摘要

An initial candidate foreground region is identified within an infrared image that includes pixels exhibiting infrared intensity values within a pre-defined range. A depth of surfaces within the initial candidate foreground region is estimated based on infrared intensity values the pixels of the initial candidate foreground region. The initial candidate foreground region is expanded to an expanded candidate foreground region based on a body-model estimate. The body model estimate is seeded with one or more of the initial candidate foreground region, the depth of surfaces, and/or a face of a human subject identified by facial recognition. Each pixel of the infrared image is identified as either a foreground pixel or a background pixel based on a distance of that pixel relative to the expanded candidate foreground region. Pixels identified as background pixels may be modified within a corresponding visible light image.
机译:在红外图像内识别出初始候选前景区域,该红外图像包括展现出在预定范围内的红外强度值的像素。基于初始候选前景区域的像素的红外强度值来估计初始候选前景区域内的表面的深度。基于身体模型估计,将初始候选前景区域扩展为扩展的候选前景区域。人体模型估计中植入了一个或多个初始候选前景区域,表面深度和/或通过面部识别识别的人类对象的面部。基于红外图像的每个像素相对于扩展的候选前景区域的距离,将其识别为前景像素或背景像素。可以在相应的可见光图像内修改被识别为背景像素的像素。

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