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公开(公告)号：US09081999B2
公开(公告)日：2015-07-14
申请号：US13519502
申请日：2010-12-28
IPC分类号： G06K9/00
CPC分类号： G06K9/00201 , G06K9/00234
摘要： Described herein is a method for recognizing a human head in a source image. The method comprises detecting a contour of at least part of a human body in the source image, calculating a depth of the human body in the source image. From the source image, a major radius size and a minor radius size of an ellipse corresponding to a human head at the depth is calculated, and, for at least several of a set of pixels of the detected contour, generating in an accumulator array at least one segment of an ellipse centered on the position of the contour pixel and having the major and minor radius sizes. Positions of local intensity maxima in the accumulator array are selected as corresponding to positions of the human head candidates in the source image.
摘要翻译： 这里描述了一种用于识别源图像中的人头的方法。 该方法包括检测源图像中的人体的至少一部分的轮廓，计算源图像中人体的深度。 从源图像中，计算对应于深度处的人头的椭圆的主半径尺寸和小半径尺寸，并且对于检测到的轮廓的一组像素中的至少几个，在累积器阵列中生成 以轮廓像素的位置为中心并且具有主半径和次半径尺寸的椭圆的至少一个部分。 选择累加器阵列中局部强度最大值的位置作为源图像中的人头候选者的位置。
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公开(公告)号：US20130022262A1
公开(公告)日：2013-01-24
申请号：US13519502
申请日：2010-12-28
CPC分类号： G06K9/00201 , G06K9/00234
摘要： Described herein is a method for recognising a human head in a source image. The method comprises detecting a contour of at least part of a human body in the source image, calculating a depth of the human body in the source image. From the source image, a major radius size and a minor radius size of an ellipse corresponding to a human head at the depth is calculated, and, for at least several of a set of pixels of the detected contour, generating in an accumulator array at least one segment of an ellipse centred on the position of the contour pixel and having the major and minor radius sizes. Positions of local intensity maxima in the accumulator array are selected as corresponding to positions of the human head candidates in the source image.
摘要翻译： 这里描述了一种用于识别源图像中的人头的方法。 该方法包括检测源图像中的人体的至少一部分的轮廓，计算源图像中人体的深度。 从源图像中，计算对应于深度处的人头的椭圆的主半径尺寸和小半径尺寸，并且对于检测到的轮廓的一组像素中的至少几个，在累积器阵列中生成 以轮廓像素的位置为中心并且具有主半径和次半径尺寸的椭圆的至少一个部分。 选择累加器阵列中局部强度最大值的位置作为源图像中的人头候选者的位置。
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公开(公告)号：US20170193061A1
公开(公告)日：2017-07-06
申请号：US15167652
申请日：2016-05-27
申请人： Alexander Visbal , Clare Adrien , Kevin Simons
发明人： Alexander Visbal , Clare Adrien , Kevin Simons
IPC分类号： G06F17/30 , G06F3/0481 , G06F3/0484 , G06F17/24
摘要： A case management system is configured to generate search templates based on selection of a search type and one or more data sources. As configured, the case management system enables execution of searches using the generated search template on synchronous and asynchronous data sources and provides periodic polling of the asynchronous data sources to generate consolidated search results.
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公开(公告)号：US07853871B2
公开(公告)日：2010-12-14
申请号：US11149724
申请日：2005-06-10
申请人： Kevin Simons , Robert Katta , Mitri Abou-Rizk , William Papp
发明人： Kevin Simons , Robert Katta , Mitri Abou-Rizk , William Papp
CPC分类号： G06F17/30905
摘要： A robust, lightweight, bottom-up segmentation method for Internet content. According to the present invention, individual segments are created based upon weights assigned according to document structure and markup elements and semantics. Smaller segments are then merged into larger segments by determining which portions of the content page are related to each other. The remaining segments are then intelligently divided based upon device constraints.
摘要翻译： 一种用于互联网内容的强大，轻便的自下而上的分割方法。 根据本发明，基于根据文档结构和标记元素和语义分配的权重来创建各个片段。 然后，通过确定内容页面的哪些部分彼此相关，较小的段被合并到较大的段。 然后基于设备限制智能地划分剩余的段。
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公开(公告)号：US20060282758A1
公开(公告)日：2006-12-14
申请号：US11149724
申请日：2005-06-10
申请人： Kevin Simons , Robert Katta , Mitri Abou-Rizk , William Papp
发明人： Kevin Simons , Robert Katta , Mitri Abou-Rizk , William Papp
CPC分类号： G06F17/30905
摘要： A robust, lightweight, bottom-up segmentation method for Internet content. According to the present invention, individual segments are created based upon weights assigned according to document structure and markup elements and semantics. Smaller segments are then merged into larger segments by determining which portions of the content page are related to each other. The remaining segments are then intelligently divided based upon device constraints.
摘要翻译： 一种用于互联网内容的强大，轻便的自下而上的分段方法。 根据本发明，基于根据文档结构和标记元素和语义分配的权重来创建各个片段。 然后，通过确定内容页面的哪些部分彼此相关，较小的段被合并到较大的段。 然后基于设备限制智能地划分剩余的段。
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