Monitoring and presenting video surveillance data
    3.
    发明申请
    Monitoring and presenting video surveillance data 有权
    监控和呈现视频监控数据

    公开(公告)号:US20060221184A1

    公开(公告)日:2006-10-05

    申请号:US11398160

    申请日:2006-04-04

    IPC分类号: H04N7/18 H04N9/47

    CPC分类号: G08B13/19693 G08B13/19682

    摘要: A method of displaying video surveillance system information is disclosed. Video clips associated with events are represented by event cards. The event cards include frames selected from the video clips associated with the events. Event cards include metadata, and can be annotated. Display of overlapping event cards causes a compressed event card to be displayed. Selection of a compressed event card dynamically expands the compressed event card to display a paneled event card.

    摘要翻译: 公开了一种显示视频监控系统信息的方法。 与事件关联的视频剪辑由事件卡表示。 事件卡包括从与事件相关联的视频剪辑中选择的帧。 事件卡包括元数据,并且可以注释。 显示重叠事件卡会导致显示压缩事件卡。 压缩事件卡的选择会动态扩展压缩事件卡,显示一张镶板事件卡。

    Grouping items in video stream images into events
    4.
    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

    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
    5.
    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

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

    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。

    Automated searching for probable matches in a video surveillance system
    7.
    发明申请
    Automated searching for probable matches in a video surveillance system 有权
    在视频监控系统中自动搜索可能的匹配

    公开(公告)号:US20070025593A1

    公开(公告)日:2007-02-01

    申请号:US11398159

    申请日:2006-04-04

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00771

    摘要: A technique for searching for probable matches in a video surveillance system is disclosed. A new event, such as a face captured in an image set, is matched against other events in a database of events. A similarity score is generated based on the difference between the new event and other events in the database. The similarity score may be weighted by information external to the image sets. Because of limited system resources, an association between a new event and every other event in the system may not be kept. Thus, when searching for probable matches of a particular event, some events that are related to the particular event may not be initially selected. Such events may be associated with an event in a first set of events that are associated with the particular event. Therefore, a second set of events is selected that are associated with the first set of events.

    摘要翻译: 公开了一种在视频监控系统中搜索可能匹配的技术。 诸如在图像集中捕获的脸部的新事件与事件数据库中的其他事件相匹配。 基于新事件和数据库中的其他事件之间的差异生成相似度分数。 可以通过图像集外部的信息来加权相似性得分。 由于系统资源有限,系统中的新事件和其他事件之间的关联可能无法保留。 因此,当搜索特定事件的可能匹配时,可能不会最初选择与特定事件相关的一些事件。 这种事件可以与与特定事件相关联的第一组事件中的事件相关联。 因此,选择与第一组事件相关联的第二组事件。

    Correlation processing among multiple analyzers of video streams at stages of a pipeline architecture
    9.
    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

    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。