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    • 11. 发明申请
    • METHODS AND SYSTEMS FOR THE DETECTION OF THE INSERTION, REMOVAL, AND CHANGE OF OBJECTS WITHIN A SCENE THROUGH THE USE OF IMAGERY
    • 通过使用图像检测场景中的物体的插入,移除和变化的方法和系统
    • US20100104185A1
    • 2010-04-29
    • US11383914
    • 2006-05-17
    • Ted L. JohnsonMichael G. Neff
    • Ted L. JohnsonMichael G. Neff
    • G06K9/34
    • G06T7/277
    • Methods and systems for detecting the insertion, removal, and change of objects of interest through the use of imagery are disclosed. In one embodiment, a method includes performing a scene registration including aligning image patterns in the first image to those in the second image; performing a feature content analysis to determine a likelihood of change for each pixel in the first and second images; performing a region identification to group pixels within the first and second images into one or more image regions based upon their likelihood of change; and performing an image region partitioning to prioritize the one or more image regions according to an image region score for each of the one or more image regions, the image region score being indicative of at least one of insertion, removal, and change of an object of interest within the common area of interest. Embodiments of the invention may advantageously provide an autonomous capability to detect the insertion, removal, and change of objects of interest.
    • 公开了通过使用图像检测感兴趣对象的插入,移除和变化的方法和系统。 在一个实施例中,一种方法包括执行场景注册,包括将第一图像中的图像图像与第二图像中的图像对齐; 执行特征内容分析以确定所述第一和第二图像中的每个像素的变化的可能性; 执行区域识别,以基于其变化的可能性将第一和第二图像内的像素分组成一个或多个图像区域; 以及执行图像区域划分以根据所述一个或多个图像区域中的每一个的图像区域分数对所述一个或多个图像区域进行优先级排序,所述图像区域分数指示对象的插入,移除和改变中的至少一个 在公共利益领域内感兴趣。 本发明的实施例可以有利地提供检测感兴趣对象的插入,移除和改变的自主能力。
    • 14. 发明授权
    • Methods and systems for the detection of the insertion, removal, and change of objects within a scene through the use of imagery
    • 通过使用图像检测场景内物体的插入,移除和变化的方法和系统
    • US07702183B1
    • 2010-04-20
    • US11383914
    • 2006-05-17
    • Ted L. JohnsonMichael G. Neff
    • Ted L. JohnsonMichael G. Neff
    • G06K9/32G06K9/68G06K9/00
    • G06T7/277
    • Methods and systems for detecting the insertion, removal, and change of objects of interest through the use of imagery are disclosed. In one embodiment, a method includes performing a scene registration including aligning image patterns in the first image to those in the second image; performing a feature content analysis to determine a likelihood of change for each pixel in the first and second images; performing a region identification to group pixels within the first and second images into one or more image regions based upon their likelihood of change; and performing an image region partitioning to prioritize the one or more image regions according to an image region score for each of the one or more image regions, the image region score being indicative of at least one of insertion, removal, and change of an object of interest within the common area of interest. Embodiments of the invention may advantageously provide an autonomous capability to detect the insertion, removal, and change of objects of interest.
    • 公开了通过使用图像检测感兴趣对象的插入,移除和变化的方法和系统。 在一个实施例中,一种方法包括执行场景注册,包括将第一图像中的图像图像与第二图像中的图像对齐; 执行特征内容分析以确定所述第一和第二图像中的每个像素的变化的可能性; 执行区域识别,以基于其变化的可能性将第一和第二图像内的像素分组成一个或多个图像区域; 以及执行图像区域划分以根据所述一个或多个图像区域中的每一个的图像区域分数对所述一个或多个图像区域进行优先级排序,所述图像区域分数指示对象的插入,移除和改变中的至少一个 在公共利益领域内感兴趣。 本发明的实施例可以有利地提供检测感兴趣对象的插入,移除和改变的自主能力。
    • 15. 发明授权
    • Image processing method and apparatus for correlating a test image with
a template
    • 用于将测试图像与模板相关联的图像处理方法和装置
    • US5982930A
    • 1999-11-09
    • US6402
    • 1998-01-13
    • Michael G. NeffTed L. JohnsonSteven A. WrightVictor E. Ratkowski, Jr.
    • Michael G. NeffTed L. JohnsonSteven A. WrightVictor E. Ratkowski, Jr.
    • G06K9/00G06K9/64G06T7/00G06K9/62
    • G06T7/003F41G7/007F41G7/2226F41G7/2253F41G7/2293G06K9/00973G06K9/6202G06K9/6203
    • The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N.sub.T which form the template and for determining the number of pixels N.sub.i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j representative of a predetermined gray level j which correspond to the template. The image correlation apparatus further includes correlation means for determining the correlation X between the test image and the template according to a predetermined equation which is based, at least in part, upon N.sub.j,i, N.sub.j, N.sub.i and N.sub.T. The image correlation apparatus can also include an address generator for creating a number of relative offsets between the template and the test image. Thus, the test image can be compared to the template at each relative offset and the relative offset which provides the greatest correlation therebetween can be determined. Consequently, the test image and the template can be effectively matched such that a preselected object designated within the template can be located and identified within the test image.
    • 图像相关方法和装置将测试图像与模板相关或匹配。 图像相关装置包括用于将模板分割成多个标签的图像处理器,用于确定形成模板的像素数目NT,以及用于确定形成每个标签i的像素数目Ni。 图像相关装置还包括用于将测试图像与模板进行比较的比较装置。 对于每个预定灰度级j,比较装置确定表示与模板的预定标签i对应的预定灰度级j的测试图像Nj,i的像素数。 比较装置还针对每个预定灰度级j确定表示与模板对应的预定灰度级j的测试图像Nj的像素数。 图像相关装置还包括相关装置,用于根据至少部分地基于Nj,i,Nj,Ni和NT的预定方程式来确定测试图像和模板之间的相关性X. 图像相关装置还可以包括用于在模板和测试图像之间创建多个相对偏移量的地址发生器。 因此,可以将测试图像与每个相对偏移处的模板进行比较,并且可以确定在其间提供最大相关性的相对偏移。 因此,可以有效地匹配测试图像和模板,使得可以在测试图像内定位和识别在模板内指定的预选对象。
    • 16. 发明授权
    • Image processing method and apparatus for correlating a test image with
a template
    • 用于将测试图像与模板相关联的图像处理方法和装置
    • US5946422A
    • 1999-08-31
    • US6124
    • 1998-01-13
    • Michael G. NeffTed L. JohnsonSteven A. WrightVictor E. Ratkowski, Jr.
    • Michael G. NeffTed L. JohnsonSteven A. WrightVictor E. Ratkowski, Jr.
    • G06K9/00G06K9/64G06T7/00G06F15/316
    • G06T7/003F41G7/007F41G7/2226F41G7/2253F41G7/2293G06K9/00973G06K9/6202G06K9/6203
    • The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N.sub.T which form the template and for determining the number of pixels N.sub.i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j representative of a predetermined gray level j which correspond to the template. The image correlation apparatus further includes correlation means for determining the correlation X between the test image and the template according to a predetermined equation which is based, at least in part, upon N.sub.j,i, N.sub.j, N.sub.i and N.sub.T. The image correlation apparatus can also include an address generator for creating a number of relative offsets between the template and the test image.
    • 图像相关方法和装置将测试图像与模板相关或匹配。 图像相关装置包括用于将模板分割成多个标签的图像处理器,用于确定形成模板的像素数目NT,以及用于确定形成每个标签i的像素数目Ni。 图像相关装置还包括用于将测试图像与模板进行比较的比较装置。 对于每个预定灰度级j,比较装置确定表示与模板的预定标签i对应的预定灰度级j的测试图像Nj,i的像素数。 比较装置还针对每个预定灰度级j确定表示与模板对应的预定灰度级j的测试图像Nj的像素数。 图像相关装置还包括相关装置,用于根据至少部分地基于Nj,i,Nj,Ni和NT的预定方程式来确定测试图像和模板之间的相关性X. 图像相关装置还可以包括用于在模板和测试图像之间创建多个相对偏移量的地址发生器。
    • 17. 发明授权
    • Image processing method and apparatus for correlating a test image with
a template
    • 用于将测试图像与模板相关联的图像处理方法和装置
    • US5809171A
    • 1998-09-15
    • US583598
    • 1996-01-05
    • Michael G. NeffTed L. JohnsonSteven A. WrightVictor E. Ratkowski, Jr.
    • Michael G. NeffTed L. JohnsonSteven A. WrightVictor E. Ratkowski, Jr.
    • G06K9/00G06K9/64G06T7/00G06K9/62G06K9/68G06F15/316
    • G06T7/003F41G7/007F41G7/2226F41G7/2253F41G7/2293G06K9/00973G06K9/6202G06K9/6203
    • The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N.sub.T which form the template and for determining the number of pixels N.sub.i which form each of the labels i. The image correlation apparatus also includes comparator for comparing the test image to the template. The comparator respectively determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparator respectively also determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j representative of a predetermined gray level j which correspond to the template. The image correlation apparatus further includes correlation means for determining the correlation X between the test image and the template according to a predetermined equation which is based, at least in part, upon N.sub.j,i, N.sub.j, N.sub.i and N.sub.T. The image correlation apparatus can also include an address generator for creating a number of relative offsets between the template and the test image. Thus, the test image can be compared to the template at each relative offset and the relative offset which provides the greatest correlation therebetween can be determined. Consequently, the test image and the template can be effectively matched such that a preselected object designated within the template can be located and identified within the test image.
    • 图像相关方法和装置将测试图像与模板相关或匹配。 图像相关装置包括用于将模板分割成多个标签的图像处理器,用于确定形成模板的像素数目NT,以及用于确定形成每个标签i的像素数目Ni。 图像相关装置还包括用于将测试图像与模板进行比较的比较器。 对于每个预定灰度级j,比较器分别确定表示与模板的预定标签i相对应的预定灰度级j的测试图像Nj,i的像素数。 比较器还针对每个预定灰度级j确定表示与模板对应的预定灰度级j的测试图像Nj的像素数。 图像相关装置还包括相关装置,用于根据至少部分地基于Nj,i,Nj,Ni和NT的预定方程式来确定测试图像和模板之间的相关性X. 图像相关装置还可以包括用于在模板和测试图像之间创建多个相对偏移量的地址发生器。 因此,可以将测试图像与每个相对偏移处的模板进行比较,并且可以确定在其间提供最大相关性的相对偏移。 因此,可以有效地匹配测试图像和模板,使得可以在测试图像内定位和识别在模板内指定的预选对象。