公开(公告)号：US08284990B2

公开(公告)日：2012-10-09

申请号：US12369692

申请日：2009-02-11

申请人： Yunqian Ma ,  Kirk Schloegel ,  Roland Miezianko ,  Petr Cisar

发明人： Yunqian Ma ,  Kirk Schloegel ,  Roland Miezianko ,  Petr Cisar

IPC分类号： G06K9/00

CPC分类号： H04N7/18 ,  G06K9/00335 ,  G06K9/00677 ,  G06K9/00771 ,  G06K2009/00738 ,  G06Q50/01

摘要： A system for social network construction. Video analytics and association may be used to develop a social network. Also, social groups may be developed from temporal proximity of persons. In the case of several social networks, they may be collapsed into one network or a weighted graph that mining algorithms can handle.

摘要翻译： 社会网络建设体系。 视频分析和关联可用于开发社交网络。 此外，社会团体可以从人的时间上接近而发展。 在几个社交网络的情况下，它们可能被折叠成一个网络或挖掘算法可以处理的加权图。

公开(公告)号：US20090292549A1

公开(公告)日：2009-11-26

申请号：US12369692

申请日：2009-02-11

申请人： Yunqian Ma ,  Kirk Schloegel ,  Roland Miezianko ,  Petr Cisar

发明人： Yunqian Ma ,  Kirk Schloegel ,  Roland Miezianko ,  Petr Cisar

IPC分类号： G06Q99/00 ,  G06K9/00

CPC分类号： H04N7/18 ,  G06K9/00335 ,  G06K9/00677 ,  G06K9/00771 ,  G06K2009/00738 ,  G06Q50/01

摘要： A system for social network construction. Video analytics and association may be used to develop a social network. Also, social groups may be developed from temporal proximity of persons. In the case of several social networks, they may be collapsed into one network or a weighted graph that mining algorithms can handle.

摘要翻译： 社会网络建设体系。 视频分析和关联可用于开发社交网络。 此外，社会团体可以从人的时间上接近而发展。 在几个社交网络的情况下，它们可能被折叠成一个网络或挖掘算法可以处理的加权图。

公开(公告)号：US20120005208A1

公开(公告)日：2012-01-05

申请号：US12829725

申请日：2010-07-02

申请人： Valerie Guralnik ,  Kirk Schloegel ,  Petr Cisar

发明人： Valerie Guralnik ,  Kirk Schloegel ,  Petr Cisar

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30781

摘要： A system for information discovery of items, such as individuals or objects, from video-based tracks. The system may compute similarities of characteristics of the items and present the results in a matrix form. A similarity portrayal may have nodes representing the items with edges between the nodes. The edges may have weights in the form of vectors indicating similarities of the characteristics between the nodes situated at the ends of the edges. The edges may be augmented with temporal and spatial properties from the tracks which cover the items. These properties may play a part in a multi-objective presentation of information about the items in terms of a negative or supportive basis. The presentation may be partitioned into clusters which may lead to a merger of items or tracks. The system may pave a way for higher-level information discovery such as video-based social networks.

摘要翻译： 用于信息发现的系统，用于从基于视频的轨道发现项目，例如个人或对象。 系统可以计算项目的特征的相似性并以矩阵形式呈现结果。 相似性描绘可以具有表示具有节点之间的边的项的节点。 边缘可以具有向量形式的权重，指示位于边缘端部处的节点之间的特征的相似性。 可以从覆盖物品的轨道的时间和空间属性来增加边缘。 这些属性可能在以负面或支持为基础的多目标呈现关于项目的信息中发挥作用。 呈现可以被划分成可以导致项目或轨道的合并的群集。 该系统可能为更高级别的信息发现铺平道路，例如基于视频的社交网络。

公开(公告)号：US08407223B2

公开(公告)日：2013-03-26

申请号：US12829725

申请日：2010-07-02

申请人： Valerie Guralnik ,  Kirk Schloegel ,  Petr Cisar

发明人： Valerie Guralnik ,  Kirk Schloegel ,  Petr Cisar

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30781

摘要： A system for information discovery of items, such as individuals or objects, from video-based tracks. The system may compute similarities of characteristics of the items and present the results in a matrix form. A similarity portrayal may have nodes representing the items with edges between the nodes. The edges may have weights in the form of vectors indicating similarities of the characteristics between the nodes situated at the ends of the edges. The edges may be augmented with temporal and spatial properties from the tracks which cover the items. These properties may play a part in a multi-objective presentation of information about the items in terms of a negative or supportive basis. The presentation may be partitioned into clusters which may lead to a merger of items or tracks. The system may pave a way for higher-level information discovery such as video-based social networks.

摘要翻译： 用于信息发现的系统，用于从基于视频的轨道发现项目，例如个人或对象。 系统可以计算项目的特征的相似性并以矩阵形式呈现结果。 相似性描绘可以具有表示具有节点之间的边的项的节点。 边缘可以具有向量形式的权重，指示位于边缘端部处的节点之间的特征的相似性。 可以从覆盖物品的轨道的时间和空间属性来增加边缘。 这些属性可能在以负面或支持为基础的多目标呈现关于项目的信息中发挥作用。 呈现可以被划分成可以导致项目或轨道的合并的群集。 该系统可能为更高级别的信息发现铺平道路，例如基于视频的社交网络。

公开(公告)号：US20090016610A1

公开(公告)日：2009-01-15

申请号：US11775053

申请日：2007-07-09

申请人： Yunqian Ma ,  Isaac Cohen ,  Petr Cisar

发明人： Yunqian Ma ,  Isaac Cohen ,  Petr Cisar

IPC分类号： G06K9/46

CPC分类号： G06K9/00771 ,  G06T7/215 ,  G06T2207/10016 ,  G06T2207/30232

摘要： Methods of using motion-texture analysis to perform video analytics are disclosed. One method includes selecting a plurality of frames from a video sequence, analyzing motion textures in the plurality of frames to identify a flow, extracting features from the flow, and characterizing the extracted features to perform activity recognition. Another method includes selecting a plurality of frames from a video sequence, analyzing motion textures in the plurality of frames to identify a flow, extracting first features from the flow, comparing the first features with second features extracted during a previous training phase, and based on the comparison, determining whether the first features indicate abnormal activity. Another method includes partitioning a given frame in a video sequence into a plurality of patches, forming a vector model for each patch by analyzing motion textures associated with that patch, and clustering patches having vector models that show a consistent pattern.

摘要翻译： 公开了使用运动纹理分析来执行视频分析的方法。 一种方法包括从视频序列中选择多个帧，分析多个帧中的运动纹理以识别流，从流中提取特征，以及表征所提取的特征以执行活动识别。 另一种方法包括从视频序列中选择多个帧，分析多个帧中的运动纹理以识别流，从流中提取第一特征，将第一特征与在先前训练阶段中提取的第二特征进行比较，并且基于 比较，确定第一个特征是否表示异常活动。 另一种方法包括将视频序列中的给定帧划分成多个补丁，通过分析与该补丁相关联的运动纹理，以及具有示出一致模式的向量模型的聚类补丁，为每个补丁形成向量模型。

公开(公告)号：US07908300B2

公开(公告)日：2011-03-15

申请号：US12061540

申请日：2008-04-02

申请人： Petr Stluka ,  Petr Cisar ,  Jiri Rojicek

发明人： Petr Stluka ,  Petr Cisar ,  Jiri Rojicek

IPC分类号： G06F7/00 ,  G06F17/30 ,  G06F13/14

CPC分类号： G06F17/30

摘要： Methods (100), algorithms, and implementing systems (200) for guided annotation of process deviations by an individual responsible for annotations (e.g. process operator) for a manufacturing process having an associated computing system (210) including a historical database (stored in memory 219). The historical database is provided (101) including data associated with a plurality of process performance measures including stored deviations for the plurality of process measures, stored quantitative deviation attributes thereof and at least one cause associated with each of the stored deviations process performance measures. The method includes the individual responsible for annotation selecting at least one present deviation (D) to be annotated responsive to a deviation in a target process performance measure (T) selected from the plurality of process measures (102). Automatically, the stored quantitative attributes associated with D, T, and a target value or target interval for T are retrieved (103). The database is searched to identify a plurality of similar deviations from the stored deviations determined to be similar to D and the plurality of similar deviations are statistically processed to generate a listing indicating a relative likelihood of the at least one cause associated with the plurality of similar deviations (104). The listing is presented to the individual to prompt selection of at least one present cause for D from the cause(s) associated with the plurality of similar deviations (105).

摘要翻译： 用于对具有包括历史数据库（存储在存储器中）的相关联的计算系统（210）的制造过程的负责注释的个体（例如过程操作员）进行指导注释过程偏差的方法（100），算法和实现系统（200） 219）。 提供历史数据库（101），包括与多个处理性能测量相关联的数据，包括多个处理测量的存储偏差，其存储的定量偏差属性以及与存储的偏差过程执行度量中的每一个相关联的至少一个原因。 该方法包括负责注释的个体，其响应于从多个处理措施（102）中选择的目标过程绩效测量（T）的偏差而选择要注释的至少一个当前偏差（D）。 自动地，检索与D，T相关联的存储的定量属性以及T的目标值或目标间隔（103）。 搜索数据库以识别与被确定为类似于D的所存储的偏差中的多个相似的偏差，并且对所述多个相似的偏差进行统计处理以产生表示与所述多个相似的相关联的所述至少一个原因的相对似然性的列表 偏差（104）。 该列表被呈现给个人以提示从与多个相似偏差（105）相关联的原因中选择D的至少一个当前原因。

公开(公告)号：US20100211192A1

公开(公告)日：2010-08-19

申请号：US12634425

申请日：2009-12-09

申请人： Petr Stluka ,  Petr Cisar ,  Eva Hostalkova

发明人： Petr Stluka ,  Petr Cisar ,  Eva Hostalkova

IPC分类号： G06F17/30 ,  G05B11/01

CPC分类号： G05B23/0272 ,  G06F16/2477

摘要： A method includes receiving at least one search parameter, where the at least one search parameter defines one or more restrictions on types of event patterns. The method also includes searching a collection of historical events associated with a process control system. The method further includes identifying one or more groups of alarms each having a pattern that satisfies the one or more restrictions. In addition, the method includes outputting information identifying the one or more groups of alarms. The method could also include receiving a selection of at least one of the one or more identified groups of alarms. The method could further include notifying one or more components in the process control system to begin dynamically suppressing alarms in the at least one selected group of alarms.

摘要翻译： 一种方法包括接收至少一个搜索参数，其中所述至少一个搜索参数定义对事件模式类型的一个或多个限制。 该方法还包括搜索与过程控制系统相关联的历史事件的集合。 该方法还包括识别一个或多个警报组，每个警报组具有满足一个或多个限制的模式。 此外，该方法包括输出识别一组或多组警报的信息。 该方法还可以包括接收对一个或多个所识别的警报组中的至少一个的选择。 该方法还可以包括通知过程控制系统中的一个或多个组件来开始动态地抑制所述至少一个所选择的报警组中的报警。

公开(公告)号：US20090254551A1

公开(公告)日：2009-10-08

申请号：US12061540

申请日：2008-04-02

申请人： Petr Stluka ,  Petr Cisar ,  Jiri Rojicek

发明人： Petr Stluka ,  Petr Cisar ,  Jiri Rojicek

IPC分类号： G06F7/06 ,  G06F17/30

CPC分类号： G06F17/30

摘要： Methods (100), algorithms, and implementing systems (200) for guided annotation of process deviations by an individual responsible for annotations (e.g. process operator) for a manufacturing process having an associated computing system (210) including a historical database (stored in memory 219). The historical database is provided (101) including data associated with a plurality of process performance measures including stored deviations for the plurality of process measures, stored quantitative deviation attributes thereof and at least one cause associated with each of the stored deviations process performance measures. The method includes the individual responsible for annotation selecting at least one present deviation (D) to be annotated responsive to a deviation in a target process performance measure (T) selected from the plurality of process measures (102). Automatically, the stored quantitative attributes associated with D, T, and a target value or target interval for T are retrieved (103). The database is searched to identify a plurality of similar deviations from the stored deviations determined to be similar to D and the plurality of similar deviations are statistically processed to generate a listing indicating a relative likelihood of the at least one cause associated with the plurality of similar deviations (104). The listing is presented to the individual to prompt selection of at least one present cause for D from the cause(s) associated with the plurality of similar deviations (105).

摘要翻译： 用于对具有包括历史数据库（存储在存储器中）的相关联的计算系统（210）的制造过程的负责注释的个体（例如过程操作员）进行指导注释过程偏差的方法（100），算法和实现系统（200） 219）。 提供历史数据库（101），包括与多个处理性能测量相关联的数据，包括多个处理测量的存储偏差，其存储的定量偏差属性以及与存储的偏差过程执行度量中的每一个相关联的至少一个原因。 该方法包括负责注释的个体，其响应于从多个处理措施（102）中选择的目标过程绩效测量（T）的偏差来选择要注释的至少一个当前偏差（D）。 自动地，检索与D，T相关联的存储的定量属性以及T的目标值或目标间隔（103）。 搜索数据库以识别与被确定为类似于D的所存储的偏差中的多个相似的偏差，并且对所述多个相似的偏差进行统计处理以产生表示与所述多个相似的相关联的所述至少一个原因的相对似然性的列表 偏差（104）。 该列表被呈现给个人以提示从与多个相似偏差（105）相关联的原因中选择D的至少一个当前原因。