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METHOD FOR ADAPTIVE THRESHOLDING FOR BACKGROUND SUBTRACTION

机译:自适应阈值减法方法

摘要

A method for extracting foreground objects of a currently observed image is provided herewith. The method comprises segmenting background objects of a previously observed image into regions of homogeneous brightness and setting initial threshold values for each segmented regions to initialize a background image information that includes background image and initial threshold values of the currently observed image, subtracting the currently observed image from the background image information and thresholding the image difference using the initial threshold values to extract foreground of the currently observed image, and comparing the foreground of the currently observed image against foreground of the previously observed image to update the initial threshold values of the background image information.
机译:从而提供一种用于提取当前观察到的图像的前景对象的方法。该方法包括将先前观察到的图像的背景对象分割成均匀亮度的区域,并为每个分割区域设置初始阈值,以初始化包括背景图像和当前观察到的图像的初始阈值的背景图像信息,减去当前观察到的图像。从背景图像信息中提取图像阈值并使用初始阈值对图像差异进行阈值提取,以提取当前观察到的图像的前景,并将当前观察到的图像的前景与先前观察到的图像的前景进行比较,以更新背景图像的初始阈值信息。

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