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    Grouping items in video stream images into events
    2.
    发明申请
    Grouping items in video stream images into events 有权
    将视频流图像中的项目分组到事件中

    公开(公告)号：US20060222244A1

    公开(公告)日：2006-10-05

    申请号：US11398158

    申请日：2006-04-04

    申请人： Gordon Haupt ,  J. Freeman ,  Stephen Fleischer ,  Robert Vallone ,  Stephen Russell ,  Timothy Frederick

    发明人： Gordon Haupt ,  J. Freeman ,  Stephen Fleischer ,  Robert Vallone ,  Stephen Russell ,  Timothy Frederick

    IPC分类号： G06K9/68

    CPC分类号： G06K9/00295

    摘要： A technique is disclosed for determining a group in which to add a new image set. The new image set is captured by one or more cameras in a video surveillance system. Similarity scores are generated between the new image set and one or more image sets of a plurality of groups, wherein each group includes one or more image sets of at least one object. The new image set is added to a group based on one or more factors. Also, a technique is disclosed for determining when to close a group, wherein a closed group is one to which an image set may not be added.

    摘要翻译： 公开了一种用于确定其中添加新图像集的组的技术。 新的图像集由视频监控系统中的一个或多个摄像机捕获。 在新图像集与多个组的一个或多个图像集之间产生相似度分数，其中每个组包括至少一个对象的一个​​或多个图像组。 基于一个或多个因素将新的图像集添加到组中。 此外，公开了一种用于确定何时关闭组的技术，其中闭合组是可以不添加图像集的组。

    Feed-customized processing of multiple video streams in a pipeline architecture
    3.
    发明申请
    Feed-customized processing of multiple video streams in a pipeline architecture 有权
    在流水线架构中对多个视频流进行自定义处理

    公开(公告)号：US20060062430A1

    公开(公告)日：2006-03-23

    申请号：US10964977

    申请日：2004-10-13

    申请人： Robert Vallone ,  J. Freeman ,  Stephen Russell ,  Thomas Kirkman ,  Stephen Fleischer ,  Gordon Haupt

    发明人： Robert Vallone ,  J. Freeman ,  Stephen Russell ,  Thomas Kirkman ,  Stephen Fleischer ,  Gordon Haupt

    IPC分类号： G06K9/00 ,  G06F7/38 ,  G06K9/60

    CPC分类号： H04N7/181 ,  G06K9/00711 ,  G06K9/00986

    摘要： A pipeline architecture for analyzing multiple streams of video is embodied, in part, in a layer of application program interfaces (APIs) to each stage of processing. Buffer queuing is used between some stages, which helps moderate the load on the CPU(s). Through the layer of APIs, innumerable video analysis applications can access and analyze video data flowing through the pipeline, and can annotate portions of the video data (e.g., frames and groups of frames), based on the analyses performed, with information that describes the frame or group. These annotated frames and groups flow through the pipeline to subsequent stages of processing, at which increasingly complex analyses can be performed. At each stage, portions of the video data that are of little or no interest are removed from the video data. Ultimately, “events” are constructed and stored in a database, from which cross-event and historical analyses may be performed and associations with, and among, events may be made.

    摘要翻译： 用于分析多个视频流的流水线架构部分地体现在每个处理阶段的应用程序接口（API）层中。 在一些阶段之间使用缓冲区排队，这有助于缓和CPU上的负载。 通过API层，无数视频分析应用程序可以访问和分析流经流水线的视频数据，并且可以基于所执行的分析来注释视频数据的一部分（例如，帧和帧组），其中描述 框架或组。 这些注释的帧和组流经管线到处理的后续阶段，在该阶段可以执行越来越复杂的分析。 在每个阶段，从视频数据中删除少量或不感兴趣的视频数据的部分。 最终，“事件”被构建并存储在数据库中，可以从该数据库中进行交叉事件和历史分析，并且可以进行与事件的关联以及事件之间的关联。

    Correlation processing among multiple analyzers of video streams at stages of a pipeline architecture
    5.
    发明申请
    Correlation processing among multiple analyzers of video streams at stages of a pipeline architecture 有权
    在管道架构的阶段，视频流的多个分析器之间的相关处理

    公开(公告)号：US20050259846A1

    公开(公告)日：2005-11-24

    申请号：US10965675

    申请日：2004-10-13

    申请人： J. Freeman ,  Robert Vallone ,  Stephen Russell ,  Stephen Fleischer ,  Gordon Haupt

    发明人： J. Freeman ,  Robert Vallone ,  Stephen Russell ,  Stephen Fleischer ,  Gordon Haupt

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00973

    摘要： A pipeline architecture for analyzing multiple streams of video is embodied, in part, in a layer of application program interfaces (APIs) to each stage of processing. Buffer queuing is used between some stages, which helps moderate the load on the CPU(s). Through the layer of APIs, innumerable video analysis applications can access and analyze video data flowing through the pipeline, and can annotate portions of the video data (e.g., frames and groups of frames), based on the analyses performed, with information that describes the frame or group. These annotated frames and groups flow through the pipeline to subsequent stages of processing, at which increasingly complex analyses can be performed. At each stage, portions of the video data that are of little or no interest are removed from the video data. Ultimately, “events” are constructed and stored in a database, from which cross-event and historical analyses may be performed and associations with, and among, events may be made.

    摘要翻译： 用于分析多个视频流的流水线架构部分地体现在每个处理阶段的应用程序接口（API）层中。 在一些阶段之间使用缓冲区排队，这有助于缓和CPU上的负载。 通过API层，无数视频分析应用程序可以访问和分析流经流水线的视频数据，并且可以基于所执行的分析来注释视频数据的一部分（例如，帧和帧组），其中描述 框架或组。 这些注释的帧和组流经管线到处理的后续阶段，在该阶段可以执行越来越复杂的分析。 在每个阶段，从视频数据中删除少量或不感兴趣的视频数据的部分。 最终，“事件”被构建并存储在数据库中，可以从该数据库中进行交叉事件和历史分析，并且可以进行与事件的关联以及事件之间的关联。

    Pipeline architecture for analyzing multiple video streams
    6.
    发明申请
    Pipeline architecture for analyzing multiple video streams 有权
    用于分析多个视频流的管道架构

    公开(公告)号：US20050232462A1

    公开(公告)日：2005-10-20

    申请号：US10965687

    申请日：2004-10-13

    申请人： Robert Vallone ,  J. Freeman ,  Stephen Russell

    发明人： Robert Vallone ,  J. Freeman ,  Stephen Russell

    IPC分类号： G06K9/00 ,  G06T5/20 ,  H04N7/18 ,  H04N7/26

    CPC分类号： G06K9/00288 ,  G06K9/00268 ,  G06K9/00711 ,  G06K9/00771 ,  H04N5/77 ,  H04N5/781 ,  H04N7/181 ,  H04N21/44008

    摘要： A pipeline architecture for analyzing multiple streams of video is embodied, in part, in a layer of application program interfaces (APIs) to each stage of processing. Buffer queuing is used between some stages, which helps moderate the load on the CPU(s). Through the layer of APIs, innumerable video analysis applications can access and analyze video data flowing through the pipeline, and can annotate portions of the video data (e.g., frames and groups of frames), based on the analyses performed, with information that describes the frame or group. These annotated frames and groups flow through the pipeline to subsequent stages of processing, at which increasingly complex analyses can be performed. At each stage, portions of the video data that are of little or no interest are removed from the video data. Ultimately, “events” are constructed and stored in a database, from which cross-event and historical analyses may be performed and associations with, and among, events may be made.

    摘要翻译： 用于分析多个视频流的流水线架构部分地体现在每个处理阶段的应用程序接口（API）层中。 在一些阶段之间使用缓冲区排队，这有助于缓和CPU上的负载。 通过API层，无数的视频分析应用程序可以访问和分析流经流水线的视频数据，并且可以基于所执行的分析来注释视频数据的一部分（例如，帧和帧组），其中描述 框架或组。 这些注释的帧和组流经管线到处理的后续阶段，在该阶段可以执行越来越复杂的分析。 在每个阶段，从视频数据中删除少量或不感兴趣的视频数据的部分。 最终，“事件”被构建并存储在数据库中，可以从该数据库中进行交叉事件和历史分析，并且可以进行与事件的关联以及事件之间的关联。

    Intelligent event determination and notification in a surveillance system
    7.
    发明申请
    Intelligent event determination and notification in a surveillance system 有权
    在监控系统中智能化事件确定和通知

    公开(公告)号：US20050271250A1

    公开(公告)日：2005-12-08

    申请号：US11082026

    申请日：2005-03-15

    申请人： Robert Vallone ,  Stephen Russell ,  Thomas Kirkman ,  Marcus Marinelli ,  J. Freeman

    发明人： Robert Vallone ,  Stephen Russell ,  Thomas Kirkman ,  Marcus Marinelli ,  J. Freeman

    IPC分类号： G06K9/00 ,  G06T5/20 ,  H04N7/18 ,  H04N7/26

    CPC分类号： G06K9/00288 ,  G06K9/00268 ,  G06K9/00711 ,  G06K9/00771 ,  H04N5/77 ,  H04N5/781 ,  H04N7/181 ,  H04N21/44008

    摘要： A method that determines whether a detected event is a significant event requiring action in a video surveillance system. Determined event attributes and object attributes are analyzed to determine if the potential event should trigger an action by the surveillance system. If the potential event should trigger an action, at least one action is triggered. Actions may include relevant event attribute and object attribute information. Potential event may include events detected by a sensor, or external events communicated by an external system to the surveillance system. Event attributes may include location and type of the potential event. Object attributes may include an identification of an object, and attributes associated with the identified object. If an object cannot be positively identified, object attributes may include potential object identifications or determined group associations of the object.

    摘要翻译： 确定检测到的事件是否是需要在视频监控系统中动作的重要事件的方法。 分析确定的事件属性和对象属性，以确定潜在事件是否应触发监视系统的动作。 如果潜在的事件触发一个动作，则至少会触发一个动作。 动作可以包括相关的事件属性和对象属性信息。 潜在事件可能包括由传感器检测到的事件，或者由外部系统传送到监控系统的外部事件。 事件属性可能包括潜在事件的位置和类型。 对象属性可以包括对象的标识，以及与识别的对象相关联的属性。 如果对象不能被正确识别，则对象属性可以包括对象的潜在对象标识或确定的组关联。