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    • 3. 发明授权
    • System and method for human hand motion detection by skin color prediction
    • 通过肤色预测进行人体手动检测的系统和方法
    • US08050494B2
    • 2011-11-01
    • US12126688
    • 2008-05-23
    • Haiying GuanNing Xu
    • Haiying GuanNing Xu
    • G06K9/00
    • G06K9/4652G06K9/00362G06K9/6226
    • Systems and methods for motion detection of human skin within temporally adjacent electronic images are provided. Motion detection is accomplished by analyzing the color values of selected pixels within the electronic images represented in CbCr color space. Histogram distributions which represent skin colors and non-skin colors in CbCr color space are modeled in order to provide likelihoods that a selected color value appears within the histogram distributions. Posterior skin probability values, indicating the probability that a selected pixel having a given CbCr color value represents human skin, are calculated from these likelihoods. For each of the selected pixels, an intensity difference of the pixel between the electronic images is compared to an adaptive intensity threshold which is a function of the posterior skin probability in order to determine whether the pixel is in motion.
    • 提供了用于在时间上相邻的电子图像内的人皮肤的运动检测的系统和方法。 通过分析CbCr颜色空间中表示的电子图像内的所选像素的颜色值来实现运动检测。 在CbCr颜色空间中表示皮肤颜色和非肤色的直方图分布进行建模,以提供所选颜色值出现在直方图分布中的可能性。 根据这些可能性计算后皮肤概率值,其指示具有给定CbCr颜色值的所选像素表示人皮肤的概率。 对于每个所选择的像素,将电子图像之间的像素的强度差与作为后皮概率的函数的自适应强度阈值进行比较,以便确定像素是否在运动。
    • 7. 发明申请
    • SYSTEM AND METHOD FOR HUMAN HAND MOTION DETECTION BY SKIN COLOR PREDICTION
    • 通过皮肤颜色预测进行人体手术运动检测的系统和方法
    • US20090290762A1
    • 2009-11-26
    • US12126688
    • 2008-05-23
    • Haiying GuanNing Xu
    • Haiying GuanNing Xu
    • G06K9/46
    • G06K9/4652G06K9/00362G06K9/6226
    • Systems and methods for motion detection of human skin within temporally adjacent electronic images are provided. Motion detection is accomplished by analyzing the color values of selected pixels within the electronic images represented in CbCr color space. Histogram distributions which represent skin colors and non-skin colors in CbCr color space are modeled in order to provide likelihoods that a selected color value appears within the histogram distributions. Posterior skin probability values, indicating the probability that a selected pixel having a given CbCr color value represents human skin, are calculated from these likelihoods. For each of the selected pixels, an intensity difference of the pixel between the electronic images is compared to an adaptive intensity threshold which is a function of the posterior skin probability in order to determine whether the pixel is in motion.
    • 提供了用于在时间上相邻的电子图像内的人皮肤的运动检测的系统和方法。 通过分析CbCr颜色空间中表示的电子图像内的所选像素的颜色值来实现运动检测。 在CbCr颜色空间中表示皮肤颜色和非肤色的直方图分布进行建模,以提供所选颜色值出现在直方图分布中的可能性。 根据这些可能性计算后皮肤概率值,其指示具有给定CbCr颜色值的所选像素表示人皮肤的概率。 对于每个所选择的像素,将电子图像之间的像素的强度差与作为后皮概率的函数的自适应强度阈值进行比较,以便确定像素是否在运动。