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Person tagging in an image processing system utilizing a statistical model based on both appearance and geometric features

机译:利用基于外观和几何特征的统计模型在图像处理系统中进行人员标记

摘要

An image processing system processes a sequence of images to generate a statistical model for each of a number of different persons to be tagged so as to be identifiable in subsequent images. The statistical model for a given tagged person incorporates at least one appearance feature, such as color, texture, etc., and at least one geometric feature, such as shape or position of a designated region of similar appearance within one or more images. The models are applied to subsequent images in order to perform a person detection, person location and/or person tracking operation. An action of the image processing system is controlled based on a result of the operation.
机译:图像处理系统处理图像序列以为要被标记以便在后续图像中可识别的多个不同人的每一个生成统计模型。给定标记人的统计模型包括至少一个外观特征,例如颜色,纹理等,以及至少一个几何特征,例如一个或多个图像中相似外观的指定区域的形状或位置。将模型应用于后续图像,以执行人员检测,人员位置和/或人员跟踪操作。基于该操作的结果来控制图像处理系统的动作。

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