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    Context processor for video analysis system
    11.
    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：US08200011B2

    公开(公告)日：2012-06-12

    申请号：US12112864

    申请日：2008-04-30

    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。

    BACKGROUND-FOREGROUND MODULE FOR VIDEO ANALYSIS SYSTEM
    14.
    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。

    Adaptive update of background pixel thresholds using sudden illumination change detection
    15.
    发明授权
    Adaptive update of background pixel thresholds using sudden illumination change detection 有权
    使用突然照明变化检测自适应更新背景像素阈值

    公开(公告)号：US08285046B2

    公开(公告)日：2012-10-09

    申请号：US12388409

    申请日：2009-02-18

    申请人： Wesley Kenneth Cobb ,  Kishor Adinath Saitwal ,  Bobby Ernest Blythe ,  Tao Yang

    发明人： Wesley Kenneth Cobb ,  Kishor Adinath Saitwal ,  Bobby Ernest Blythe ,  Tao Yang

    IPC分类号： G06K9/34

    CPC分类号： G06K9/00771

    摘要： Techniques are disclosed for a computer vision engine to update both a background model and thresholds used to classify pixels as depicting scene foreground or background in response to detecting that a sudden illumination changes has occurred in a sequence of video frames. The threshold values may be used to specify how much pixel a given pixel may differ from corresponding values in the background model before being classified as depicting foreground. When a sudden illumination change is detected, the values for pixels affected by sudden illumination change may be used to update the value in the background image to reflect the value for that pixel following the sudden illumination change as well as update the threshold for classifying that pixel as depicting foreground/background in subsequent frames of video.

    摘要翻译： 公开了用于计算机视觉引擎的技术，用于更新背景模型和用于将像素分类为描绘场景前景或背景的阈值，以响应于检测到在视频帧序列中已经发生突然的照明变化。 可以使用阈值来指定给定像素在分类为描绘前景之前可能与背景模型中的对应值不同的像素。 当检测到突然的照明变化时，可以使用受突然照明改变影响的像素的值来更新背景图像中的值，以反映在突然照射变化之后该像素的值，并且更新用于对该像素进行分类的阈值 作为描绘后续视频帧中的前景/背景。

    Background-foreground module for video analysis system
    16.
    发明授权
    Background-foreground module for video analysis system 有权
    视频分析系统的背景前景模块

    公开(公告)号：US08094943B2

    公开(公告)日：2012-01-10

    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 ,  G06K9/00

    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。

    ADAPTIVE UPDATE OF BACKGROUND PIXEL THRESHOLDS USING SUDDEN ILLUMINATION CHANGE DETECTION
    18.
    发明申请
    ADAPTIVE UPDATE OF BACKGROUND PIXEL THRESHOLDS USING SUDDEN ILLUMINATION CHANGE DETECTION 有权
    使用SUDDEN ILLUMINATION CHANGE DETECTION的背景像素阈值的自适应更新

    公开(公告)号：US20100208986A1

    公开(公告)日：2010-08-19

    申请号：US12388409

    申请日：2009-02-18

    申请人： WESLEY KENNETH COBB ,  Kishor Adinath Saitwal ,  Bobby Ernest Blythe ,  Tao Yang

    发明人： WESLEY KENNETH COBB ,  Kishor Adinath Saitwal ,  Bobby Ernest Blythe ,  Tao Yang

    IPC分类号： G06K9/62

    CPC分类号： G06K9/00771

    摘要： Techniques are disclosed for a computer vision engine to update both a background model and thresholds used to classify pixels as depicting scene foreground or background in response to detecting that a sudden illumination changes has occurred in a sequence of video frames. The threshold values may be used to specify how much pixel a given pixel may differ from corresponding values in the background model before being classified as depicting foreground. When a sudden illumination change is detected, the values for pixels affected by sudden illumination change may be used to update the value in the background image to reflect the value for that pixel following the sudden illumination change as well as update the threshold for classifying that pixel as depicting foreground/background in subsequent frames of video.

    摘要翻译： 公开了用于计算机视觉引擎的技术，用于更新背景模型和用于将像素分类为描绘场景前景或背景的阈值，以响应于检测到在视频帧序列中已经发生突然的照明变化。 可以使用阈值来指定给定像素在分类为描绘前景之前可能与背景模型中的对应值不同的像素。 当检测到突然的照明变化时，可以使用受突然照明改变影响的像素的值来更新背景图像中的值，以反映在突然照射变化之后该像素的值，并且更新用于对该像素进行分类的阈值 作为描绘后续视频帧中的前景/背景。

    ADAPTIVE VOTING EXPERTS FOR INCREMENTAL SEGMENTATION OF SEQUENCES WITH PREDICTION IN A VIDEO SURVEILLANCE SYSTEM
    19.
    发明申请
    ADAPTIVE VOTING EXPERTS FOR INCREMENTAL SEGMENTATION OF SEQUENCES WITH PREDICTION IN A VIDEO SURVEILLANCE SYSTEM 有权
    适应性视频监控系统预测序列分段的自适应投票专家

    公开(公告)号：US20110044492A1

    公开(公告)日：2011-02-24

    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。

    Dark scene compensation in a background-foreground module of a video analysis system
    20.
    发明授权
    Dark scene compensation in a background-foreground module of a video analysis system 有权
    在视频分析系统的背景前景模块中进行黑暗场景补偿

    公开(公告)号：US08064695B2

    公开(公告)日：2011-11-22

    申请号：US12129539

    申请日：2008-05-29

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

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

    IPC分类号： G06K9/34 ,  H04N7/12 ,  G06K9/00

    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。