公开(公告)号：US20130044942A1

公开(公告)日：2013-02-21

申请号：US13213262

申请日：2011-08-19

申请人： Quanfu Fan ,  Prasad Gabbur ,  Sachiko Miyazawa ,  Jiyan Pan ,  Sharathchandra U. Pankanti ,  Hoang Trinh

发明人： Quanfu Fan ,  Prasad Gabbur ,  Sachiko Miyazawa ,  Jiyan Pan ,  Sharathchandra U. Pankanti ,  Hoang Trinh

IPC分类号： G06K9/62

CPC分类号： G06K9/6292 ,  G06K9/6885

摘要： Events are classified through string pattern recognition. Text labels are assigned to image primitives in a time-ordered set of training images and to related time-ordered transactions in an associated training transaction log in a combined time-ordered training string of text labels as a function of image types. Transactions are labeled in a training transaction log with a transaction label, a training primitive image of a start of a transaction with a start image text label, a training primitive of an entry of a transaction into the log with an entry image text label, and a training primitive of a conclusion of a transaction with an ending image text label. Positive subset string patterns are discovered representing true events from the combined time-ordered training string of text labels, and negative subset string patterns defined by removing single transaction primitive labels from the positive subset string patterns.

摘要翻译： 事件通过字符串模式识别分类。 将文本标签分配给训练图像的时间有序集合中的图像原语以及相关联的训练事务日志中的相关时间顺序事务，其中文本标签的组合时间有序训练串作为图像类型的函数。 事务在具有事务标签的训练事务日志中被标记，具有开始图像文本标签的事务开始的训练原始图像，具有条目图像文本标签的事务入口的训练原语以及 与结束图像文本标签交易结论的训练原语。 从组合的时间有序的文本标签的训练串中发现表示真实事件的正的子集字符串模式，以及通过从正的子集字符串模式中去除单个事务原始标签而定义的负子集串模式。

公开(公告)号：US20120134527A1

公开(公告)日：2012-05-31

申请号：US12955944

申请日：2010-11-30

申请人： James R. Culp ,  Frank D. Fenhagen, IV ,  Arun Hampapur ,  Xuan Liu ,  Sharathchandra U. Pankanti

发明人： James R. Culp ,  Frank D. Fenhagen, IV ,  Arun Hampapur ,  Xuan Liu ,  Sharathchandra U. Pankanti

IPC分类号： G06K9/00

CPC分类号： G06K9/00476 ,  G06K9/0063 ,  G06K9/52 ,  G06Q10/06311 ,  G06Q90/00 ,  G06T7/30 ,  G06T11/60 ,  G06T2207/10032 ,  G06T2207/30184

摘要： An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets. The hazard detection tool further comprises an analysis component configured to: analyze the visual media to determine if a hazardous condition exists for each of the set of physical assets; and apply the GIS data to the visual media to determine a location of hazardous conditions within the infrastructure.

摘要翻译： 提供了一种检测基础设施内危险状况位置的方法。 这种方法使用卫星图像，GIS数据，自动图像处理和预测建模来自动确定危害位置，从而优化基础设施管理。 具体来说，危害检测工具提供了这一功能。 所述危险检测工具包括检测部件，所述检测部件被配置为：接收包含关于一组物理资产的资产位置数据的视觉媒体，以及关于所述一组物理资产的附近的潜在危险的危险位置数据。 检测组件还接收关于每组物理资产的资产位置数据的图形信息系统（GIS）数据。 所述危险检测工具还包括分析部件，其被配置为：分析所述视觉介质以确定所述一组物理资产中是否存在危险状况; 并将GIS数据应用于视觉媒体，以确定基础设施内危险状况的位置。

公开(公告)号：US20120093370A1

公开(公告)日：2012-04-19

申请号：US12905272

申请日：2010-10-15

申请人： Lei Ding ,  Quanfu Fan ,  Prasad Gabbur ,  Arun Hampapur ,  Sachiko Miyazawa ,  Sharathchandra U. Pankanti

发明人： Lei Ding ,  Quanfu Fan ,  Prasad Gabbur ,  Arun Hampapur ,  Sachiko Miyazawa ,  Sharathchandra U. Pankanti

IPC分类号： G06K9/00

CPC分类号： G06K9/6215 ,  G06K9/00335 ,  G06K9/00771

摘要： Determination of human behavior from an alignment of data streams includes acquiring visual image primitives from a video input comprising visual information relevant to a human activity. The primitives are temporally aligned to an optimally hypothesized sequence of primitives transformed from a sequence of transactions as a function of a distance metric between the observed primitive sequence and the transformed primitive sequence. More particularly, transforming includes comparing the distance metric costs and choosing and performing the lowest cost of temporally matching the observed primitives to one or more transactions, deleting a primitive, or associating a primitive with a pseudo transaction marker. Accordingly, alerts are issued based on analysis of the transformation of primitives.

摘要翻译： 从数据流的对齐确定人类行为包括从包括与人类活动相关的视觉信息的视频输入中获取视觉图像原语。 原语在时间上与从事件序列变换的最优假设序列的原语对齐，作为观察到的原始序列与经变换的原始序列之间的距离度量的函数。 更具体地，变换包括比较距离度量成本并选择和执行将观察到的原语暂时匹配到一个或多个事务，删除原语或将原语与伪交易标记相关联的最低成本。 因此，基于对原语的转换的分析发出警报。

公开(公告)号：US20120008819A1

公开(公告)日：2012-01-12

申请号：US12832379

申请日：2010-07-08

申请人： Lei Ding ,  Quanfu Fan ,  Sharathchandra U. Pankanti

发明人： Lei Ding ,  Quanfu Fan ,  Sharathchandra U. Pankanti

IPC分类号： G06K9/00

CPC分类号： G06K9/00335 ,  G06K9/00771 ,  G08B13/19613

摘要： In an embodiment, automated analysis of video data for determination of human behavior includes providing a programmable device that segments a video stream into a plurality of discrete individual frame image primitives which are combined into a visual event that may encompass an activity of concern as a function of a hypothesis. The visual event is optimized by setting a binary variable to true or false as a function of one or more constraints. The optimized visual event is processed in view of associated non-video transaction data and the binary variable by associating the optimized visual event with a logged transaction if associable, issuing an alert if the binary variable is true and the optimized visual event is not associable with the logged transaction, and dropping the optimized visual event if the binary variable is false and the optimized visual event is not associable.

摘要翻译： 在一个实施例中，用于确定人类行为的视频数据的自动分析包括提供将视频流分段成多个离散的单独帧图像原语的可编程设备，其被组合成视觉事件，视觉事件可以包含作为功能的关注活动 一个假设。 通过将二进制变量设置为true或false作为一个或多个约束的函数来优化视觉事件。 考虑到相关联的非视频交易数据和二进制变量，通过将优化的可视事件与记录的事务相关联来处理优化的视觉事件，如果可关联，则如果二进制变量为真，并且优化的视觉事件不能与 记录的事务，并且如果二进制变量为false并且优化的可视事件不可关联，则丢弃优化的可视事件。

公开(公告)号：US08036426B2

公开(公告)日：2011-10-11

申请号：US12845302

申请日：2010-07-28

申请人： Arun Hampapur ,  Sharathchandra U. Pankanti ,  Andrew W. Senior

发明人： Arun Hampapur ,  Sharathchandra U. Pankanti ,  Andrew W. Senior

IPC分类号： G06K9/00

CPC分类号： H04N7/185 ,  G06T3/4038 ,  G06T7/246 ,  G08B13/19608 ,  G08B13/19663

摘要： A novel system and method of treating the output of moving cameras, in particular ones that enable the application of conventional “static camera” algorithms, e.g., to enable the continuous vigilance of computer surveillance technology to be applied to moving cameras that cover a wide area. According to the invention, a single camera is deployed to cover an area that might require many static cameras and a corresponding number of processing units. A novel system for processing the main video sufficiently enables long-term change detection, particularly the observation that a static object has been moved or has appeared, for instance detecting the parking and departure of vehicles in a parking lot, the arrival of trains in stations, delivery of goods, arrival and dispersal of people, or any other application.

摘要翻译： 一种处理移动摄像机的输出的新型系统和方法，特别是能够应用常规“静态摄像机”算法的系统和方法，例如，能够将计算机监视技术的持续警觉性应用于覆盖广域的移动摄像机 。 根据本发明，单个相机被部署以覆盖可能需要许多静态相机和相应数量的处理单元的区域。 用于处理主视频的新型系统充分实现长期变化检测，特别是静态物体已被移动或已经出现的观察，例如检测停车场中车辆的停车和离开，列车到达车站 货物的运送，人员的到达和分散，或任何其他的应用程序。

公开(公告)号：US07822228B2

公开(公告)日：2010-10-26

申请号：US12176521

申请日：2008-07-21

申请人： Arun Hampapur ,  Sharathchandra U. Pankanti ,  Andrew W. Senior

发明人： Arun Hampapur ,  Sharathchandra U. Pankanti ,  Andrew W. Senior

IPC分类号： G06K9/46

CPC分类号： H04N7/185 ,  G06T3/4038 ,  G06T7/246 ,  G08B13/19608 ,  G08B13/19663

摘要： A system and method of treating the output of moving cameras, in particular ones that enable the application of conventional “static camera” algorithms, e.g., to enable the continuous vigilance of computer surveillance technology to be applied to moving cameras that cover a wide area. A single camera is deployed to cover an area that might require many static cameras and a corresponding number of processing units. A novel system for processing the main video sufficiently enables long-term change detection, particularly the observation that a static object has been moved or has appeared, for instance detecting the parking and departure of vehicles in a parking lot, the arrival of trains in stations, delivery of goods, arrival and dispersal of people, or any other application.

摘要翻译： 一种用于处理移动摄像机的输出的系统和方法，特别是能够应用传统的“静态摄像机”算法的输出的系统和方法，例如使计算机监控技术的持续警觉性能够应用于覆盖广泛区域的移动摄像机。 部署单个摄像机以覆盖可能需要许多静态摄像机和相应数量的处理单元的区域。 用于处理主视频的新型系统充分实现长期变化检测，特别是静态物体已被移动或已经出现的观察，例如检测停车场中车辆的停车和离开，列车到达车站 货物的运送，人员的到达和分散，或任何其他的应用程序。

公开(公告)号：US20100169169A1

公开(公告)日：2010-07-01

申请号：US12347129

申请日：2008-12-31

申请人： Jonathan H. Connell, II ,  Myron D. Flickner ,  Norman Haas ,  Arun Hampapur ,  Sharathchandra U. Pankanti ,  Andrew W. Senior ,  Chiao-Fe Shu

发明人： Jonathan H. Connell, II ,  Myron D. Flickner ,  Norman Haas ,  Arun Hampapur ,  Sharathchandra U. Pankanti ,  Andrew W. Senior ,  Chiao-Fe Shu

IPC分类号： G06Q10/00 ,  G06F15/18 ,  G06N5/02

CPC分类号： G06Q30/06 ,  G06N20/00 ,  G06Q10/06393 ,  G06Q40/12 ,  G07G1/0036 ,  G07G3/00 ,  G09B19/18

摘要： An approach that allows for facilitating checkout related fraud investigation is presented. In one embodiment, there is described a generating tool configured to generate a set of benchmark parameters based on results of a cumulative learning process; a normalizing tool configured to normalize said set of benchmark parameters; an establishing tool configured to establish a confidence time interval required for identifying normal variations; a recording tool configured to record a particular checker's transactions during said confidence time interval, and an identifying tool configured to identify transactions, recorded during said confidence time interval, that fail meeting said set of benchmark parameters.

摘要翻译： 介绍了一种允许便于结帐相关欺诈调查的方法。 在一个实施例中，描述了一种生成工具，其被配置为基于累积学习过程的结果生成一组基准参数; 归一化工具，其被配置为对所述一组基准参数进行归一化; 建立工具，被配置为建立识别正常变化所需的置信时间间隔; 记录工具，被配置为在所述置信时间间隔期间记录特定的检查者的事务;以及识别工具，其被配置为识别在所述置信时间间隔期间记录的失败的所述事务，所述失败满足所述一组基准参数。

公开(公告)号：US20090237232A1

公开(公告)日：2009-09-24

申请号：US12052046

申请日：2008-03-20

申请人： Jonathan H. Connell II ,  Myron D. Flickner ,  Norman Haas ,  Arun Hampapur ,  Sharathchandra U. Pankanti

发明人： Jonathan H. Connell II ,  Myron D. Flickner ,  Norman Haas ,  Arun Hampapur ,  Sharathchandra U. Pankanti

IPC分类号： G08B19/00

CPC分类号： G08B13/00 ,  G06Q20/203 ,  G06Q20/209 ,  G08B13/246

摘要： Under the present invention, a single, overall alarm for an entire set of shopping items will be used for any and all discrepancies. The metric used for creating an alarm for the overall set of shopping items can be based on any one of the following candidate policies: if at least one item generated an alarm; if some fixed number of items generated an alarm; if some threshold discrepancy metric got exceed; if basket size is larger than certain threshold cash value and the alarm exceeded certain threshold alarm rate; a randomly generated alarm (e.g., random audit); the customer's identity and track record (e.g., loyalty card); and/or any combination of the above. Regardless, if an overall alarm is generated one or more of the following actions can be taken: no action send the customer to customer service; appropriately record customer track record (e.g., loyalty card) when customer identity is available; audit the customer at the “shop exit; and/or any combination of thereof.

摘要翻译： 在本发明中，对于整个购物项目的单个整体报警将用于任何和所有差异。 用于为整个购物项目创建警报的度量可以基于以下任一候选策略：如果至少一个项目产生了警报; 如果有固定数量的物品产生报警; 如果一些阈值差异度量超过了; 如果篮子尺寸大于某个门槛现金值，并且报警超过一定阈值报警率; 随机生成的警报（例如，随机审计）; 客户的身份和记录（例如会员卡）; 和/或上述的任何组合。 无论如何，如果发生整体报警，可采取以下一项或多项措施：无需向客户提供任何行动; 当客户身份可用时，适当地记录客户记录（例如会员卡）; 在“商店出口”处审核客户;和/或其任何组合。

公开(公告)号：US20090026270A1

公开(公告)日：2009-01-29

申请号：US11782177

申请日：2007-07-24

申请人： Jonathan H. Connell, II ,  Myron D. Flickner ,  Norman Haas ,  Arun Hampapur ,  Sharathchandra U. Pankanti

发明人： Jonathan H. Connell, II ,  Myron D. Flickner ,  Norman Haas ,  Arun Hampapur ,  Sharathchandra U. Pankanti

IPC分类号： G06K7/10

CPC分类号： G07G1/0054 ,  A47F9/046 ,  G07G1/0081 ,  G07G3/003

摘要： Aspects of the present invention provide a secure checkout system comprising an image capture device (e.g., a camera) that is collocated with a handheld/portable scanner. The barcode of an item is scanned and an image of the item is recorded. It is then determined whether the identity of the item as determined based on the barcode is consistent with its appearance as determined from the image. If not, a discrepancy is registered. It is then determined whether the discrepancy is due to fraud (e.g., theft) or device error. In the case of the latter, the system can be updated to prevent a repeat of the error.

摘要翻译： 本发明的方面提供一种包括与手持式/便携式扫描器并置的图像捕获装置（例如，照相机）的安全结帐系统。 扫描物品的条形码并记录物品的图像。 然后，确定基于条形码确定的物品的身份是否与从图像确定的外观一致。 如果不是，则注册差异。 然后确定差异是否是由于欺诈（例如盗窃）或设备错误引起的。 在后者的情况下，可以更新系统以防止重复错误。

公开(公告)号：US20080296382A1

公开(公告)日：2008-12-04

申请号：US11756391

申请日：2007-05-31

申请人： Jonathan H. Connell, II ,  Myron D. Flickner ,  Norman Haas ,  Thomas J. Hammershoy ,  Arun Hampapur ,  Sharathchandra U. Pankanti

发明人： Jonathan H. Connell, II ,  Myron D. Flickner ,  Norman Haas ,  Thomas J. Hammershoy ,  Arun Hampapur ,  Sharathchandra U. Pankanti

IPC分类号： G06K7/00 ,  G06K5/00

CPC分类号： G07G1/0063 ,  G06K5/00 ,  G06K7/0004 ,  G06K7/10554 ,  G06K7/10821 ,  G06K9/20 ,  G06K9/6293

摘要： The present invention provides a smart scanning system comprising an integrated scanning and image capture system in which one or more image capture device(s) (e.g., still camera, video camera, etc.) and a barcode scanner are positioned within a common enclosure that is a component of a checkout station. The barcode of item is scanned and an image of the item is recorded. The identity of the item as determined based on the barcode is compared to its appearance as determined based on its image. If the identity is inconsistent with its appearance, a discrepancy is registered. It is then determined whether the discrepancy is due to fraud (e.g., theft) or device error. In the case of the latter, the system can be updated to prevent a repeat of the error.

摘要翻译： 本发明提供了一种智能扫描系统，其包括集成的扫描和图像捕获系统，其中一个或多个图像捕获装置（例如，静态照相机，摄像机等）和条形码扫描器位于共同的外壳内， 是结账台的组成部分。 扫描物品的条形码并记录物品的图像。 将基于条形码确定的物品的身份与根据其图像确定的外观进行比较。 如果身份与其外观不一致，则会注册差异。 然后确定差异是否由于欺诈（例如盗窃）或设备错误而引起。 在后者的情况下，可以更新系统以防止重复错误。