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31.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
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。
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32.发明授权Inter-trajectory anomaly detection using adaptive voting experts in a video surveillance system 有权视频监控系统中使用自适应投票专家的轨迹间异常检测公开(公告)号：US08340352B2
公开(公告)日：2012-12-25
申请号：US12543318
申请日：2009-08-18
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/6222 , G06K9/6296 , G06T7/248 , G06T2207/10016 , G06T2207/30196 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241
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。
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33.发明授权Hierarchical sudden illumination change detection using radiance consistency within a spatial neighborhood 有权在空间邻域中使用辐射一致性的分层突发照明变化检测公开(公告)号：US09373055B2
公开(公告)日：2016-06-21
申请号：US12336382
申请日：2008-12-16
CPC分类号： G06K9/4661
摘要： Techniques are disclosed for detecting sudden illumination changes using radiance consistency within a spatial neighborhood. A background/foreground (BG/FG) component of a behavior recognition system may be configured to generate a background image depicting a scene background. Further, the (BG/FG) component may periodically evaluate a current video frame to determine whether a sudden illumination change has occurred. A sudden illumination change occurs when scene lighting changes dramatically from one frame to the next (or over a small number of frames).
摘要翻译： 公开了用于使用空间邻域内的辐射一致性来检测突发照明变化的技术。 行为识别系统的背景/前景（BG / FG）组件可以被配置为生成描绘场景背景的背景图像。 此外，（BG / FG）组件可以周期性地评估当前视频帧以确定是否发生了突然的照明改变。 当场景照明从一帧显着变化到下一帧（或少量帧）时，会发生突然的照明变化。
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公开(公告)号：US08300924B2
公开(公告)日：2012-10-30
申请号：US12208538
申请日：2008-09-11
申请人： John Eric Eaton , Wesley Kenneth Cobb , Rajkiran K. Gottumukkal , Kishor Adinath Saitwal , Ming-Jung Seow , Tao Yang , Bobby Ernest Blythe
发明人： John Eric Eaton , Wesley Kenneth Cobb , Rajkiran K. Gottumukkal , Kishor Adinath Saitwal , Ming-Jung Seow , Tao Yang , Bobby Ernest Blythe
IPC分类号： G06K9/62
CPC分类号： G06F15/16
摘要： A tracker component for a computer vision engine of a machine-learning based behavior-recognition system is disclosed. The behavior-recognition system may be configured to learn, identify, and recognize patterns of behavior by observing a video stream (i.e., a sequence of individual video frames). The tracker component may be configured to track objects depicted in the sequence of video frames and to generate, search, match, and update computational models of such objects.
摘要翻译： 公开了一种基于机器学习的行为识别系统的计算机视觉引擎的跟踪器组件。 行为识别系统可以被配置为通过观察视频流（即，各个视频帧的序列）来学习，识别和识别行为模式。 跟踪器组件可以被配置为跟踪视频帧序列中描绘的对象并且生成，搜索，匹配和更新这些对象的计算模型。
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35.发明申请DARK SCENE COMPENSATION IN A BACKGROUND-FOREGROUND MODULE OF A VIDEO ANALYSIS SYSTEM 有权视频分析系统背景模块中的深色景观补偿公开(公告)号：US20090087093A1
公开(公告)日：2009-04-02
申请号：US12129539
申请日：2008-05-29
IPC分类号： G06K9/34
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。
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36.发明授权Intra-trajectory anomaly detection using adaptive voting experts in a video surveillance system 有权视频监控系统中使用自适应投票专家的轨迹内异常检测公开(公告)号：US08379085B2
公开(公告)日：2013-02-19
申请号：US12543307
申请日：2009-08-18
CPC分类号： G06K9/00771 , G06K9/6251 , G06K9/726
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。
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公开(公告)号：US08041116B2
公开(公告)日：2011-10-18
申请号：US12129551
申请日：2008-05-29
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。
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公开(公告)号：US20090087086A1
公开(公告)日：2009-04-02
申请号：US12129551
申请日：2008-05-29
IPC分类号： G06K9/34
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。
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公开(公告)号：US08625884B2
公开(公告)日：2014-01-07
申请号：US12543204
申请日：2009-08-18
CPC分类号： G06K9/00771 , G08B13/19613
摘要： Techniques are disclosed for visually conveying an event map. The event map may represent information learned by a surveillance system. A request may be received to view the event map for a specified scene. The event map may be generated, including a background model of the specified scene and at least one cluster providing a statistical distribution of an event in the specified scene. Each statistical distribution may be derived from data streams generated from a sequence of video frames depicting the specified scene captured by a video camera. Each event may be observed to occur at a location in the specified scene corresponding to a location of the respective cluster in the event map. The event map may be configured to allow a user to view and/or modify properties associated with each cluster. For example, the user may label a cluster and set events matching the cluster to always (or never) generate an alert.
摘要翻译： 公开了用于视觉传达事件图的技术。 事件地图可以表示监视系统学到的信息。 可以接收到查看指定场景的事件映射的请求。 可以生成事件映射，包括指定场景的背景模型和至少一个提供指定场景中的事件的统计分布的群集。 每个统计分布可以从从描述由摄像机捕获的指定场景的视频帧序列产生的数据流中导出。 可以观察每个事件发生在与事件映射中相应簇的位置相对应的指定场景中的位置处。 可以将事件映射配置为允许用户查看和/或修改与每个集群相关联的属性。 例如，用户可以标记集群并将与集群匹配的事件设置为始终（或从不）生成警报。
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40.发明授权Visualizing and updating long-term memory percepts in a video surveillance system 有权可视化和更新视频监控系统中的长期记忆感知公开(公告)号：US08786702B2
公开(公告)日：2014-07-22
申请号：US12551303
申请日：2009-08-31
IPC分类号： H04N7/18
CPC分类号： G06K9/6217 , G06K9/00771 , G06K9/00973 , H04N7/18 , H04N7/183
摘要： Techniques are disclosed for visually conveying a percept. The percept may represent information learned by a video surveillance system. A request may be received to view a percept for a specified scene. The percept may have been derived from data streams generated from a sequence of video frames depicting the specified scene captured by a video camera. A visual representation of the percept may be generated. A user interface may be configured to display the visual representation of the percept and to allow a user to view and/or modify metadata attributes with the percept. For example, the user may label a percept and set events matching the percept to always (or never) result in alert being generated for users of the video surveillance system.
摘要翻译： 公开了用于视觉地传达感知的技术。 感知可以表示视频监控系统学到的信息。 可以接收请求以查看指定场景的感知。 感知可能是从描绘由摄像机捕获的指定场景的视频帧序列产生的数据流导出的。 可以产生视觉的视觉表示。 用户界面可以被配置为显示感知的视觉表示，并允许用户使用感知来查看和/或修改元数据属性。 例如，用户可以标记感知并将匹配感知的事件设置为始终（或从不）导致为视频监控系统的用户生成警报。
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