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    AUDITING VIDEO ANALYTICS THROUGH ESSENCE GENERATION
    1.
    发明申请
    AUDITING VIDEO ANALYTICS THROUGH ESSENCE GENERATION 失效
    通过心理发生审视视频分析

    公开(公告)号：US20110280547A1

    公开(公告)日：2011-11-17

    申请号：US12986233

    申请日：2011-01-07

    申请人： Quanfu Fan ,  Zuoxuan Lu ,  Sachiko Miyazawa ,  Sharathchandra U. Pankanti

    发明人： Quanfu Fan ,  Zuoxuan Lu ,  Sachiko Miyazawa ,  Sharathchandra U. Pankanti

    IPC分类号： H04N5/91

    CPC分类号： G06K9/00355 ,  G06T7/20 ,  G08B13/196

    摘要： Video analytics data is audited through review of selective visual essence subsets of visual images from a visual image stream as a function of a temporal relationship of the essence subset images to a triggering alert event. The visual essence subset comprehends an image contemporaneous with the triggering alert event and one or more other images occurring before or after the contemporaneous image. The generated visual essence is presented for review to determine whether the triggering alert event is a true or false alert, or whether additional data from the visual image stream is required to make such a determination. If determined from the presented visual essence that the additional data is required make the true or false determination, then additional data is presented from the visual image stream for review.

    摘要翻译： 通过从可视图像流中检查视觉图像的选择性视觉实质子集作为本质子集图像与触发警报事件的时间关系的函数来审查视频分析数据。 视觉本质子集包括与触发警报事件同时发生的图像以及在同期图像之前或之后发生的一个或多个其它图像。 生成的视觉精华被呈现供审查以确定触发警报事件是真实还是假警报，或者是否需要来自视觉图像流的附加数据进行这样的确定。 如果从呈现的视觉实质确定需要附加数据进行真实或错误的确定，则从视觉图像流中呈现附加数据以供审查。

    Modeling of temporarily static objects in surveillance video data
    2.
    发明授权
    Modeling of temporarily static objects in surveillance video data 有权
    监控视频数据中临时静态对象的建模

    公开(公告)号：US08744123B2

    公开(公告)日：2014-06-03

    申请号：US13220213

    申请日：2011-08-29

    申请人： Russell P. Bobbitt ,  Quanfu Fan ,  Zuoxuan Lu ,  Jiyan Pan ,  Sharathchandra U. Pankanti

    发明人： Russell P. Bobbitt ,  Quanfu Fan ,  Zuoxuan Lu ,  Jiyan Pan ,  Sharathchandra U. Pankanti

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00771

    摘要： A foreground object blob having a bounding box detected in frame image data is classified by a finite state machine as a background, moving foreground, or temporally static object, namely as the temporally static object when the detected bounding box is distinguished from a background model of a scene image of the video data input and remains static in the scene image for a threshold period. The bounding box is tracked through matching masks in subsequent frame data of the video data input, and the object sub-classified within a visible sub-state, an occluded sub-state, or another sub-state that is not visible and not occluded as a function of a static value ratio. The ratio is a number of pixels determined to be static by tracking in a foreground region of the background model corresponding to the tracked object bounding box over a total number of pixels of the foreground region.

    摘要翻译： 在帧图像数据中检测到的具有边界框的前景对象斑点被分类为有限状态机作为背景，移动前景或时间静态对象，即当检测到的边界框与背景模型 输入视频数据的场景图像，并在场景图像中保持静止阈值周期。 通过视频数据输入的后续帧数据中的匹配掩码来跟踪边界框，并且将子分类在可见子状态，闭塞子状态或不可见并且不被遮挡的另一子状态中的对象作为 静态值比的函数。 所述比例是通过在前景区域的总数目的像素对应于跟踪对象边界框的背景模型的前景区域中进行跟踪而确定为静态的像素的数量。

    MODELING OF TEMPORARILY STATIC OBJECTS IN SURVEILLANCE VIDEO DATA
    3.
    发明申请
    MODELING OF TEMPORARILY STATIC OBJECTS IN SURVEILLANCE VIDEO DATA 有权
    在监视视频数据中建立临时静态对象

    公开(公告)号：US20130051613A1

    公开(公告)日：2013-02-28

    申请号：US13220213

    申请日：2011-08-29

    申请人： Russell P. Bobbitt ,  Quanfu Fan ,  Zuoxuan Lu ,  Jiyan Pan ,  Sharathchandra U. Pankanti

    发明人： Russell P. Bobbitt ,  Quanfu Fan ,  Zuoxuan Lu ,  Jiyan Pan ,  Sharathchandra U. Pankanti

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00771

    摘要： A foreground object blob having a bounding box detected in frame image data is classified by a finite state machine as a background, moving foreground, or temporally static object, namely as the temporally static object when the detected bounding box is distinguished from a background model of a scene image of the video data input and remains static in the scene image for a threshold period. The bounding box is tracked through matching masks in subsequent frame data of the video data input, and the object sub-classified within a visible sub-state, an occluded sub-state, or another sub-state that is not visible and not occluded as a function of a static value ratio. The ratio is a number of pixels determined to be static by tracking in a foreground region of the background model corresponding to the tracked object bounding box over a total number of pixels of the foreground region.

    摘要翻译： 在帧图像数据中检测到的具有边界框的前景对象斑点被分类为有限状态机作为背景，移动前景或时间静态对象，即当检测到的边界框与背景模型 输入视频数据的场景图像，并在场景图像中保持静止阈值周期。 通过视频数据输入的后续帧数据中的匹配掩码来跟踪边界框，并且将子分类在可见子状态，闭塞子状态或不可见并且不被遮挡的另一子状态中的对象作为 静态值比的函数。 所述比例是通过在前景区域的总数目的像素对应于跟踪对象边界框的背景模型的前景区域中进行跟踪而确定为静态的像素的数量。

    Auditing video analytics through essence generation
    4.
    发明授权
    Auditing video analytics through essence generation 失效
    通过精华生成审计视频分析

    公开(公告)号：US08594482B2

    公开(公告)日：2013-11-26

    申请号：US12986233

    申请日：2011-01-07

    申请人： Quanfu Fan ,  Zuoxuan Lu ,  Sachiko Miyazawa ,  Sharathchandra Umapathirao Pankanti

    发明人： Quanfu Fan ,  Zuoxuan Lu ,  Sachiko Miyazawa ,  Sharathchandra Umapathirao Pankanti

    IPC分类号： H04N5/765 ,  H04N5/931

    CPC分类号： G06K9/00355 ,  G06T7/20 ,  G08B13/196

    摘要： Video analytics data is audited through review of selective visual essence subsets of visual images from a visual image stream as a function of a temporal relationship of the essence subset images to a triggering alert event. The visual essence subset comprehends an image contemporaneous with the triggering alert event and one or more other images occurring before or after the contemporaneous image. The generated visual essence is presented for review to determine whether the triggering alert event is a true or false alert, or whether additional data from the visual image stream is required to make such a determination. If determined from the presented visual essence that the additional data is required make the true or false determination, then additional data is presented from the visual image stream for review.

    摘要翻译： 通过从可视图像流中检查视觉图像的选择性视觉实质子集作为本质子集图像与触发警报事件的时间关系的函数来审查视频分析数据。 视觉本质子集包括与触发警报事件同时发生的图像以及在同期图像之前或之后发生的一个或多个其它图像。 生成的视觉精华被呈现供审查以确定触发警报事件是真实还是假警报，或者是否需要来自视觉图像流的附加数据进行这样的确定。 如果从呈现的视觉实质确定需要附加数据进行真实或错误的确定，则从视觉图像流中呈现附加数据以供审查。