Foreground object detection from multiple images
    1.
    发明授权
    Foreground object detection from multiple images 有权
    从多个图像的前景物体检测

    公开(公告)号:US09202137B2

    公开(公告)日:2015-12-01

    申请号:US14260966

    申请日:2014-04-24

    Applicant: Google Inc.

    CPC classification number: G06K9/6202 G06K9/4642 G06K9/4652 G06K2009/6213

    Abstract: A method for determining a salient region of an image is disclosed. For a plurality of different saliency cue functions, a single saliency value is calculated for each pixel in a plurality of adjacent pixels in an image using the saliency cue function, wherein one of the saliency cue functions is based on whether the pixel is in a region of the image whose colors contrast with the region's background and another of the saliency cue functions is based on a foreground and background color models of the image. A classifier is used to calculate a combined single saliency value for each pixel based on the single saliency values for the pixel. The salient region of the pixels is determined with a subwindow search based on the combined single saliency values.

    Abstract translation: 公开了一种用于确定图像的显着区域的方法。 对于多个不同的显着提示功能,使用显着性提示功能为图像中的多个相邻像素中的每个像素计算单个显着值,其中显着性提示功能之一是基于像素是否在区域 其颜色与区域的背景对比的图像和其他显着提示功能基于图像的前景和背景颜色模型。 分类器用于基于像素的单个显着值来计算每个像素的组合单显着值。 基于组合的单个显着值的子窗口搜索确定像素的显着区域。

    FOREGROUND OBJECT DETECTION FROM MULTIPLE IMAGES
    2.
    发明申请
    FOREGROUND OBJECT DETECTION FROM MULTIPLE IMAGES 有权
    从多个图像的前兆对象检测

    公开(公告)号:US20150169989A1

    公开(公告)日:2015-06-18

    申请号:US14260966

    申请日:2014-04-24

    Applicant: Google Inc.

    CPC classification number: G06K9/6202 G06K9/4642 G06K9/4652 G06K2009/6213

    Abstract: A method for determining a salient region of an image is disclosed. For a plurality of different saliency cue functions, a single saliency value is calculated for each pixel in a plurality of adjacent pixels in an image using the saliency cue function, wherein one of the saliency cue functions is based on whether the pixel is in a region of the image whose colors contrast with the region's background and another of the saliency cue functions is based on a foreground and background color models of the image. A classifier is used to calculate a combined single saliency value for each pixel based on the single saliency values for the pixel. The salient region of the pixels is determined with a subwindow search based on the combined single saliency values.

    Abstract translation: 公开了一种用于确定图像的显着区域的方法。 对于多个不同的显着提示功能,使用显着性提示功能为图像中的多个相邻像素中的每个像素计算单个显着值,其中显着性提示功能之一是基于像素是否在区域 其颜色与区域的背景对比的图像和其他显着提示功能基于图像的前景和背景颜色模型。 分类器用于基于像素的单个显着值来计算每个像素的组合单显着值。 基于组合的单个显着值的子窗口搜索确定像素的显着区域。

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