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    • 11. 发明授权
    • Method and apparatus for detecting targets through temporal scene changes
    • 通过时间场景变化来检测目标的方法和装置
    • US08243991B2
    • 2012-08-14
    • US12486316
    • 2009-06-17
    • Subhodev DasYi TanMing-Yee ChiuAndrew CoppockFeng Han
    • Subhodev DasYi TanMing-Yee ChiuAndrew CoppockFeng Han
    • G06K9/00
    • G06K9/3241G06K9/4642G06K9/6857
    • A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.
    • 公开了一种用于检测图像中的目标的系统和方法。 从至少一对对准的图像中检测至少一个表现出至少强度变化的图像区域。 使用无监督学习方法确定至少一个图像区域内的至少强度的变化的分布。 使用至少强度变化的分布来识别经历感兴趣变化的像素。 使用监督学习方法来识别来自所识别的像素的至少一个目标。 至少强度变化的分布是当一对图像属于彩色图像时的联合色调和强度直方图。 至少强度变化的分布是当一对图像属于灰度图像时的强度直方图。
    • 12. 发明申请
    • METHOD AND APPARATUS FOR DETECTING TARGETS THROUGH TEMPORAL SCENE CHANGES
    • 通过时间变化来检测目标的方法和装置
    • US20100092036A1
    • 2010-04-15
    • US12486316
    • 2009-06-17
    • Subhodev DasYi TanMing-Yee ChiuAndrew CoppockFeng Han
    • Subhodev DasYi TanMing-Yee ChiuAndrew CoppockFeng Han
    • G06K9/00
    • G06K9/3241G06K9/4642G06K9/6857
    • A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.
    • 公开了一种用于检测图像中的目标的系统和方法。 从至少一对对准的图像中检测至少一个表现出至少强度变化的图像区域。 使用无监督学习方法确定至少一个图像区域内的至少强度的变化的分布。 使用至少强度变化的分布来识别经历感兴趣变化的像素。 使用监督学习方法来识别来自所识别的像素的至少一个目标。 至少强度变化的分布是当一对图像属于彩色图像时的联合色调和强度直方图。 至少强度变化的分布是当一对图像属于灰度图像时的强度直方图。