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1. 发明申请

US20100080492A1 GROUPING ITEMS IN VIDEO STREAM IMAGES INTO EVENTS 有权
标题翻译：将视频流图像中的项目分组到事件中
公开(公告)号：US20100080492A1
公开(公告)日：2010-04-01
申请号：US12632726
申请日：2009-12-07
申请人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
发明人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
IPC分类号： G06K9/54
CPC分类号： G06K9/00295
摘要： A technique is disclosed for determining when to close a group of a plurality of groups. A closed group is one to which an image set may not be added. Each group includes one or more image sets. Each image set includes one or more images of at least one object. Each group corresponds to an object that is common among images in the one or more image sets that belong to the group. Determining when to close a particular group is based, at least in part, on one or more factors, such as how many image sets are in the particular group, the length of time the particular group has been open, and data about the one or more image sets in the particular group.
摘要翻译：公开了一种用于确定何时关闭多个组的组的技术。封闭的组是不能添加图像集的组。每个组包括一个或多个图像组。每个图像集合包括至少一个对象的一个或多个图像。每个组对应于属于该组的一个或多个图像集合中的图像中常见的对象。至少部分地基于一个或多个因素来确定什么时候关闭特定的组，例如特定组中有多少个图像组，特定组已经打开的时间长度以及关于该组的数据特定组中的更多图像集。

2. 发明授权

US07646895B2 Grouping items in video stream images into events 有权
标题翻译：将视频流图像中的项目分组到事件中
公开(公告)号：US07646895B2
公开(公告)日：2010-01-12
申请号：US11398158
申请日：2006-04-04
申请人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
发明人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
IPC分类号： G06K9/00 , G06K9/62 , G06K9/54 , H04N7/18
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。

3. 发明授权

US07933455B2 Grouping items in video stream images into events 有权
标题翻译：将视频流图像中的项目分组到事件中
公开(公告)号：US07933455B2
公开(公告)日：2011-04-26
申请号：US12632726
申请日：2009-12-07
申请人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
发明人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/00295
摘要： A technique is disclosed for determining when to close a group of a plurality of groups. A closed group is one to which an image set may not be added. Each group includes one or more image sets. Each image set includes one or more images of at least one object. Each group corresponds to an object that is common among images in the one or more image sets that belong to the group. Determining when to close a particular group is based, at least in part, on one or more factors, such as how many image sets are in the particular group, the length of time the particular group has been open, and data about the one or more image sets in the particular group.
摘要翻译：公开了一种用于确定何时关闭一组多个组的技术。封闭的组是不能添加图像集的组。每个组包括一个或多个图像组。每个图像集合包括至少一个对象的一个或多个图像。每个组对应于属于该组的一个或多个图像集中的图像中常见的对象。至少部分地基于一个或多个因素来确定什么时候关闭特定的组，例如特定组中有多少个图像组，特定组已经打开的时间长度以及关于该组的数据特定组中的更多图像集。

4. 发明授权

US07760230B2 Method for automatically reducing stored data in a surveillance system 有权
标题翻译：自动减少监控系统中存储数据的方法
公开(公告)号：US07760230B2
公开(公告)日：2010-07-20
申请号：US11082027
申请日：2005-03-15
申请人： Stephen G. Russell , Robert P. Vallone , J. Andrew Freeman , Stephen D. Fleischer , Gordon T. Haupt
发明人： Stephen G. Russell , Robert P. Vallone , J. Andrew Freeman , Stephen D. Fleischer , Gordon T. Haupt
IPC分类号： H04N7/12
CPC分类号： G06K9/00288 , G06K9/00268 , G06K9/00711 , G06K9/00771 , H04N5/77 , H04N5/781 , H04N7/181 , H04N21/44008
摘要： A method of managing video data storage in a video surveillance system is disclosed. The disclosed methods extend the amount of calendar time for which video and image data can be stored on a storage device. The disclosed methods apply decision criteria, such as rules, configuration data and preferences, to support intelligent automatic reduction of stored surveillance data such that images and video data of most interest are maintained while less important data is deleted, compressed or archived.
摘要翻译：公开了一种在视频监控系统中管理视频数据存储的方法。所公开的方法扩展了可以在存储设备上存储视频和图像数据的日历时间量。所公开的方法应用诸如规则，配置数据和偏好的决定标准，以支持智能自动减少存储的监视数据，使得维护最感兴趣的图像和视频数据，而不太重要的数据被删除，压缩或归档。

5. 发明授权

US07697026B2 Pipeline architecture for analyzing multiple video streams 有权
标题翻译：用于分析多个视频流的管道架构
公开(公告)号：US07697026B2
公开(公告)日：2010-04-13
申请号：US10965687
申请日：2004-10-13
申请人： Robert P. Vallone , J. Andrew Freeman , Stephen G. Russell
发明人： Robert P. Vallone , J. Andrew Freeman , Stephen G. Russell
IPC分类号： H04N7/12
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。

6. 发明授权

US07667732B1 Event generation and camera cluster analysis of multiple video streams in a pipeline architecture 有权
标题翻译：在流水线架构中的多个视频流的事件生成和相机聚类分析
公开(公告)号：US07667732B1
公开(公告)日：2010-02-23
申请号：US10965676
申请日：2004-10-13
申请人： J. Andrew Freeman , Robert P. Vallone , Stephen G. Russell , Christian Pappas , Stephen D. Fleischer , Gordon T. Haupt
发明人： J. Andrew Freeman , Robert P. Vallone , Stephen G. Russell , Christian Pappas , Stephen D. Fleischer , Gordon T. Haupt
IPC分类号： H04N7/18
CPC分类号： G06K9/00973 , G06K9/00711 , G08B13/19671
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。

7. 发明授权

US07663661B2 Feed-customized processing of multiple video streams in a pipeline architecture 有权
标题翻译：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：US07663661B2
公开(公告)日：2010-02-16
申请号：US10964977
申请日：2004-10-13
申请人： Robert P. Vallone , J. Andrew Freeman , Stephen G. Russell , Thomas W. Kirkman , Stephen D. Fleischer , Gordon T. Haupt
发明人： Robert P. Vallone , J. Andrew Freeman , Stephen G. Russell , Thomas W. Kirkman , Stephen D. Fleischer , Gordon T. Haupt
IPC分类号： H04N7/18
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。

8. 发明授权

US07529411B2 Interactive system for recognition analysis of multiple streams of video 有权
标题翻译：用于多视频流识别分析的交互式系统
公开(公告)号：US07529411B2
公开(公告)日：2009-05-05
申请号：US11081753
申请日：2005-03-15
申请人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
发明人： Gordon T. Haupt , J. Andrew Freeman , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
IPC分类号： G06K9/68 , G06K9/00
CPC分类号： G06K9/00288 , G06K9/00268 , G06K9/00711 , G06K9/00771 , H04N5/77 , H04N5/781 , H04N7/181 , H04N21/44008
摘要： A method of identifying an object captured in a video image in a multi-camera video surveillance system is disclosed. Sets of identifying information are stored in profiles, each profile being associated with one object. The disclosed method of identifying an object includes comparing identifying information extracted from images captured by the video surveillance system to one or more stored profiles. A confidence score is calculated for each comparison and used to determine a best match between the extracted set of identifying information and an object. In one embodiment, the method is used as part of a facial recognition system incorporated into a video surveillance system.
摘要翻译：公开了一种在多摄像机视频监视系统中识别在视频图像中捕获的对象的方法。标识信息的集合存储在配置文件中，每个配置文件与一个对象相关联。所公开的识别对象的方法包括将由视频监视系统捕获的图像提取的识别信息与一个或多个存储的简档进行比较。计算每个比较的置信度，并用于确定所提取的识别信息集与对象之间的最佳匹配。在一个实施例中，该方法被用作结合到视频监控系统中的面部识别系统的一部分。

9. 发明授权

US09286777B2 Presenting video data 有权
标题翻译：呈现视频数据
公开(公告)号：US09286777B2
公开(公告)日：2016-03-15
申请号：US12905786
申请日：2010-10-15
申请人： Robert P. Vallone , Stephen G. Russell , Gordon T. Haupt , Shannon P. Hale , Michael E. Wells
发明人： Robert P. Vallone , Stephen G. Russell , Gordon T. Haupt , Shannon P. Hale , Michael E. Wells
IPC分类号： G08B13/196
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。

10. 发明授权

US08130285B2 Automated searching for probable matches in a video surveillance system 有权
标题翻译：在视频监控系统中自动搜索可能的匹配
公开(公告)号：US08130285B2
公开(公告)日：2012-03-06
申请号：US11398159
申请日：2006-04-04
申请人： Gordon T. Haupt , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
发明人： Gordon T. Haupt , Stephen D. Fleischer , Robert P. Vallone , Stephen G. Russell , Timothy B. Frederick
IPC分类号： H04N5/76 , 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。

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