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    SCENE PRESET IDENTIFICATION USING QUADTREE DECOMPOSITION ANALYSIS
    8.
    发明申请
    SCENE PRESET IDENTIFICATION USING QUADTREE DECOMPOSITION ANALYSIS 有权
    使用四分位分解分析的场景预设识别

    公开(公告)号：US20110043625A1

    公开(公告)日：2011-02-24

    申请号：US12543223

    申请日：2009-08-18

    申请人： Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Rajkiran Kumar Gottumukkal ,  Kishor Adinath Saitwal ,  Gang Xu ,  Tao Yang

    发明人： Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Rajkiran Kumar Gottumukkal ,  Kishor Adinath Saitwal ,  Gang Xu ,  Tao Yang

    IPC分类号： H04N7/18 ,  G06K9/62

    CPC分类号： G06K9/00771 ,  G06T7/254 ,  G06T2207/20081 ,  G06T2207/30232

    摘要： Techniques are disclosed for matching a current background scene of an image received by a surveillance system with a gallery of scene presets that each represent a previously captured background scene. A quadtree decomposition analysis is used to improve the robustness of the matching operation when the scene lighting changes (including portions containing over-saturation/under-saturation) or a portion of the content changes. The current background scene is processed to generate a quadtree decomposition including a plurality of window portions. Each of the window portions is processed to generate a plurality of phase spectra. The phase spectra are then projected onto a corresponding plurality of scene preset image matrices of one or more scene preset. When a match between the current background scene and one of the scene presets is identified, the matched scene preset is updated. Otherwise a new scene preset is created based on the current background scene.

    摘要翻译： 公开了用于将由监视系统接收的图像的当前背景场景与每个表示先前捕获的背景场景的场景预设画廊进行匹配的技术。 当场景照明改变（包括包含过饱和/欠饱和的部分）或内容的一部分改变时，使用四叉树分解分析来提高匹配操作的鲁棒性。 处理当前背景场景以产生包括多个窗口部分的四叉树分解。 每个窗口部分被处理以产生多个相位谱。 然后将相位谱投影到一个或多个场景预设的相应的多个场景预设图像矩阵上。 当当前背景场景与其中一个场景预设之间的匹配被识别时，匹配的场景预设被更新。 否则，将根据当前的背景场景创建一个新的场景预设。

    Context processor for video analysis system
    9.
    发明授权
    Context processor for video analysis system 有权
    视频分析系统的上下文处理器

    公开(公告)号：US08705861B2

    公开(公告)日：2014-04-22

    申请号：US13494605

    申请日：2012-06-12

    申请人： John Eric Eaton ,  Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Rajkiran Kumar Gottumukkal ,  Kishor Adinath Saitwal

    发明人： John Eric Eaton ,  Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Rajkiran Kumar Gottumukkal ,  Kishor Adinath Saitwal

    IPC分类号： G06K9/00 ,  G06K9/34

    CPC分类号： G06K9/00771 ,  G06K9/00335 ,  G06T7/11 ,  G06T2207/10016

    摘要： Embodiments of the present invention provide a method and a system for mapping a scene depicted in an acquired stream of video frames that may be used by a machine-learning behavior-recognition system. A background image of the scene is segmented into plurality of regions representing various objects of the background image. Statistically similar regions may be merged and associated. The regions are analyzed to determine their z-depth order in relation to a video capturing device providing the stream of the video frames and other regions, using occlusions between the regions and data about foreground objects in the scene. An annotated map describing the identified regions and their properties is created and updated.

    摘要翻译： 本发明的实施例提供了一种用于映射可以由机器学习行为识别系统使用的所获取的视频帧流中描绘的场景的方法和系统。 场景的背景图像被分割成表示背景图像的各种对象的多个区域。 统计上相似的地区可能会合并并相关联。 分析这些区域以使用提供视频帧和其他区域的流的视频捕获设备来确定它们的z深度顺序，使用区域之间的遮挡以及关于场景中的前景物体的数据。 创建并更新描述已识别区域及其属性的注释地图。

    CONTEXT PROCESSOR FOR VIDEO ANALYSIS SYSTEM
    10.
    发明申请
    CONTEXT PROCESSOR FOR VIDEO ANALYSIS SYSTEM 有权
    视频分析系统的上下文处理器

    公开(公告)号：US20120257831A1

    公开(公告)日：2012-10-11

    申请号：US13494605

    申请日：2012-06-12

    申请人： John Eric Eaton ,  Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Rajkiran Kumar Gottumukkal ,  Kishor Adinath Saitwal

    发明人： John Eric Eaton ,  Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Rajkiran Kumar Gottumukkal ,  Kishor Adinath Saitwal

    IPC分类号： G06K9/34

    CPC分类号： G06K9/00771 ,  G06K9/00335 ,  G06T7/11 ,  G06T2207/10016

    摘要： Embodiments of the present invention provide a method and a system for mapping a scene depicted in an acquired stream of video frames that may be used by a machine-learning behavior-recognition system. A background image of the scene is segmented into plurality of regions representing various objects of the background image. Statistically similar regions may be merged and associated. The regions are analyzed to determine their z-depth order in relation to a video capturing device providing the stream of the video frames and other regions, using occlusions between the regions and data about foreground objects in the scene. An annotated map describing the identified regions and their properties is created and updated.

    摘要翻译： 本发明的实施例提供了一种用于映射可以由机器学习行为识别系统使用的所获取的视频帧流中描绘的场景的方法和系统。 场景的背景图像被分割成表示背景图像的各种对象的多个区域。 统计上相似的地区可能会合并并相关联。 分析这些区域以使用提供视频帧和其他区域的流的视频捕获设备来确定它们的z深度顺序，使用区域之间的遮挡以及关于场景中的前景物体的数据。 创建并更新描述已识别区域及其属性的注释地图。