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    Adaptive voting experts for incremental segmentation of sequences with prediction in a video surveillance system
    4.
    发明授权
    Adaptive voting experts for incremental segmentation of sequences with prediction in a video surveillance system 有权
    自适应投票专家用于在视频监控系统中预测的序列的增量分割

    公开(公告)号：US08295591B2

    公开(公告)日：2012-10-23

    申请号：US12543379

    申请日：2009-08-18

    申请人： Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  David Samuel Friedlander ,  Kishor Adinath Saitwal ,  Gang Xu

    发明人： Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  David Samuel Friedlander ,  Kishor Adinath Saitwal ,  Gang Xu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00771

    摘要： A sequence layer in a machine-learning engine configured to learn from the observations of a computer vision engine. In one embodiment, the machine-learning engine uses the voting experts to segment adaptive resonance theory (ART) network label sequences for different objects observed in a scene. The sequence layer may be configured to observe the ART label sequences and incrementally build, update, and trim, and reorganize an ngram trie for those label sequences. The sequence layer computes the entropies for the nodes in the ngram trie and determines a sliding window length and vote count parameters. Once determined, the sequence layer may segment newly observed sequences to estimate the primitive events observed in the scene as well as issue alerts for inter-sequence and intra-sequence anomalies.

    摘要翻译： 机器学习引擎中的序列层，被配置为从计算机视觉引擎的观察中学习。 在一个实施例中，机器学习引擎使用投票专家来分割在场景中观察到的不同对象的自适应共振理论（ART）网络标签序列。 序列层可以被配置为观察ART标签序列并且逐渐地构建，更新和修整和重组那些标记序列的ngram特里。 序列层计算ngram trie中节点的熵，并确定滑动窗口长度和投票计数参数。 一旦确定，序列层可以划分新观察到的序列以估计在场景中观察到的原始事件以及发出序列间和序列内异常的警报。

    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。

    BACKGROUND-FOREGROUND MODULE FOR VIDEO ANALYSIS SYSTEM
    10.
    发明申请
    BACKGROUND-FOREGROUND MODULE FOR VIDEO ANALYSIS SYSTEM 有权
    视频分析系统背景模块

    公开(公告)号：US20090087096A1

    公开(公告)日：2009-04-02

    申请号：US12129521

    申请日：2008-05-29

    申请人： John Eric Eaton ,  Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Kishor Adinath Saitwal ,  Tao Yang ,  Ming-Jung Seow

    发明人： John Eric Eaton ,  Wesley Kenneth Cobb ,  Bobby Ernest Blythe ,  Kishor Adinath Saitwal ,  Tao Yang ,  Ming-Jung Seow

    IPC分类号： G06K9/46 ,  G06K9/62

    CPC分类号： G06K9/38

    摘要： Embodiments of the present invention provide a method and a module for identifying a background of a scene depicted in an acquired stream of video frames that may be used by a video-analysis system. For each pixel or block of pixels in an acquired video frame a comparison measure is determined. The comparison measure depends on difference of color values exhibited in the acquired video frame and in a background image respectively by the pixel or block of pixels and a corresponding pixel and block of pixels in the background image. To determine the comparison measure, the resulting difference is considered in relation to a range of possible color values. If the comparison measure is above a dynamically adjusted threshold, the pixel or the block of pixels is classified as a part of the background of the scene.

    摘要翻译： 本发明的实施例提供了一种用于识别视频分析系统可以使用的所获取的视频帧流中描绘的场景的背景的方法和模块。 对于所获取的视频帧中的每个像素或像素块，确定比较度量。 比较测量取决于所获取的视频帧和背景图像中分别由像素或像素块以及背景图像中的对应像素和像素块显示的颜色值的差异。 为了确定比较测量，考虑到与可能的颜色值的范围的差异。 如果比较度量高于动态调整的阈值，像素或像素块被分类为场景背景的一部分。