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公开(公告)号：US07945074B2
公开(公告)日：2011-05-17
申请号：US11382373
申请日：2006-05-09
IPC分类号： G06K9/00
摘要： A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.
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公开(公告)号：US20100239119A1
公开(公告)日：2010-09-23
申请号：US11382373
申请日：2006-05-09
IPC分类号： G06K9/00
CPC分类号： G06K9/00604 , G06K9/00261 , G06K9/00597 , G06K9/0061 , G06K9/00617
摘要： A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.
摘要翻译： 用于具有头/面/眼定位器，放大虹膜捕获机构和虹膜识别模块的虹膜识别的间隔范围或远距离虹膜检测和跟踪。 该系统可以获得有或没有他或她的知识或合作的受试者的虹膜信息。 该信息可能足以识别主题，身份验证和/或数据库中的存储。
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公开(公告)号：US08064647B2
公开(公告)日：2011-11-22
申请号：US11382373
申请日：2006-05-09
IPC分类号： G06K9/00
CPC分类号： G06K9/00604 , G06K9/00261 , G06K9/00597 , G06K9/0061 , G06K9/00617
摘要： A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.
摘要翻译： 用于具有头/面/眼定位器，放大虹膜捕获机构和虹膜识别模块的虹膜识别的间隔范围或远距离虹膜检测和跟踪。 该系统可以获得有或没有他或她的知识或合作的受试者的虹膜信息。 该信息可能足以识别主题，身份验证和/或数据库中的存储。
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公开(公告)号：US20110187845A1
公开(公告)日：2011-08-04
申请号：US13077821
申请日：2011-03-31
IPC分类号： H04N7/18
CPC分类号： G06K9/00604 , G06K9/00261 , G06K9/00597 , G06K9/0061 , G06K9/00617
摘要： A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.
摘要翻译： 用于具有头/面/眼定位器，放大虹膜捕获机构和虹膜识别模块的虹膜识别的间隔范围或远距离虹膜检测和跟踪。 该系统可以获得有或没有他或她的知识或合作的受试者的虹膜信息。 该信息可能足以识别主题，身份验证和/或数据库中的存储。
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公开(公告)号：US08761458B2
公开(公告)日：2014-06-24
申请号：US13077821
申请日：2011-03-31
IPC分类号： G06K9/00
CPC分类号： G06K9/00604 , G06K9/00261 , G06K9/00597 , G06K9/0061 , G06K9/00617
摘要： A stand-off range or at-a-distance iris detection and tracking for iris recognition having a head/face/eye locator, a zoom-in iris capture mechanism and an iris recognition module. The system may obtain iris information of a subject with or without his or her knowledge or cooperation. This information may be sufficient for identification of the subject, verification of identity and/or storage in a database.
摘要翻译： 用于具有头/面/眼定位器，放大虹膜捕获机构和虹膜识别模块的虹膜识别的间隔范围或远距离虹膜检测和跟踪。 该系统可以获得有或没有他或她的知识或合作的受试者的虹膜信息。 该信息可能足以识别主题，身份验证和/或数据库中的存储。
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公开(公告)号：US07567704B2
公开(公告)日：2009-07-28
申请号：US11289886
申请日：2005-11-30
申请人： Kwong Wing Au , Michael E. Bazakos , Yunqian Ma
发明人： Kwong Wing Au , Michael E. Bazakos , Yunqian Ma
IPC分类号： G06K9/00 , G06K9/62 , G01C3/00 , G01C5/00 , G01B11/24 , G01B11/30 , H04N7/18 , H04N9/47 , H04N5/232
CPC分类号： G06K9/00771 , G06K9/46
摘要： An image is processed by a sensed-feature-based classifier to generate a list of objects assigned to classes. The most prominent objects (those objects whose classification is most likely reliable) are selected for range estimation and interpolation. Based on the range estimation and interpolation, the sensed features are converted to physical features for each object. Next, that subset of objects is then run through a physical-feature-based classifier that re-classifies the objects. Next, the objects and their range estimates are re-run through the processes of range estimation and interpolation, sensed-feature-to-physical-feature conversion, and physical-feature-based classification iteratively to continuously increase the reliability of the classification as well as the range estimation. The iterations are halted when the reliability reaches a predetermined confidence threshold. In a preferred embodiment, a next subset of objects having the next highest prominence in the same image is selected and the entire iterative process is repeated. This set of iterations will include evaluation of both of the first and second subsets of objects. The process can be repeated until all objects have been classified.
摘要翻译： 图像由基于感测特征的分类器处理以生成分配给类的对象的列表。 选择最突出的对象（那些分类最可靠的对象）用于范围估计和插值。 基于范围估计和内插，感测到的特征被转换为每个对象的物理特征。 接下来，该对象的子集然后通过基于物理特征的分类器来运行，该分类器重新分类对象。 接下来，通过范围估计和插值，感测特征到物理特征转换和基于物理特征的分类的过程重新运行对象及其范围估计，以不断提高分类的可靠性 作为范围估计。 当可靠性达到预定的置信阈值时，迭代停止。 在优选实施例中，选择具有相同图像中的下一个最高突出的对象的下一个子集，并重复整个迭代过程。 这组迭代将包括评估对象的第一和第二子集。 可以重复该过程，直到所有对象都被分类为止。
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公开(公告)号：US20080031491A1
公开(公告)日：2008-02-07
申请号：US11498923
申请日：2006-08-03
申请人： Yunqian Ma , Michael E. Bazakos , Kwong Wing Au
发明人： Yunqian Ma , Michael E. Bazakos , Kwong Wing Au
CPC分类号： G06K9/00771 , G06K9/6284 , G08B13/19613
摘要： In an embodiment, a video processor is configured to identify anomalous or abnormal behavior. A hierarchical behavior model based on the features of the complement of the abnormal behavior of interest is developed. For example, if the abnormal behavior is stealing or shoplifting, a model is developed for the actions of normal shopping behavior (i.e., not stealing or not shoplifting). Features are extracted from video data and applied to an artificial intelligence construct such as a dynamic Bayesian network (DBN) to determine if the normal behavior is present in the video data (i.e, the complement of the abnormal behavior). If the DBN indicates that the extracted features depart from the behavior model (the complement of the abnormal behavior), then the presence of the abnormal behavior in the video data may be assumed.
摘要翻译： 在一个实施例中，视频处理器被配置为识别异常或异常行为。 开发了基于异常行为的补充特征的分层行为模型。 例如，如果异常行为是偷窃或偷窃，则为正常购物行为（即不偷窃或不偷窃）的行为开发出一个模型。 从视频数据提取特征并将其应用于诸如动态贝叶斯网络（DBN）的人造智能结构，以确定视频数据中是否存在正常行为（即，异常行为的补充）。 如果DBN指示提取的特征离开行为模型（异常行为的补充），则可以假设视频数据中的异常行为的存在。
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8.发明申请公开(公告)号：US20070268145A1
公开(公告)日：2007-11-22
申请号：US11437461
申请日：2006-05-19
申请人： Michael E. Bazakos , Yunqian Ma , Kwong Wing Au
发明人： Michael E. Bazakos , Yunqian Ma , Kwong Wing Au
CPC分类号： G07C9/00111 , G07C9/00
摘要： An automated tailgating detection system for an entry through a door or other entry port, including an entry authorization sensor detecting valid entry credentials and transmitting the number of valid entry credentials detected. An automated video surveillance system detects, counts and tracks the persons who enter through the door. A tailgate detection processor receives the number of valid entry credentials detected and the number of people detected and sounds an alarm when the credentials number is less than the number of persons. A door contact sensor determines the state of the door, and sends a signal when the door is opened and closed.
摘要翻译： 一种用于通过门或其他入口端口进入的自动尾门检测系统，包括入口许可传感器检测有效入口凭证并发送检测到的有效入口凭据的数量。 自动视频监控系统检测，计数和跟踪通过门进入的人员。 后门检测处理器接收检测到的有效入境凭证的数量和检测到的人数，并且当凭证数小于人数时发出警报。 门接触传感器确定门的状态，并在门打开和关闭时发送信号。
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9.发明授权公开(公告)号：US07843313B2
公开(公告)日：2010-11-30
申请号：US11290523
申请日：2005-12-01
IPC分类号： B60R25/00
CPC分类号： G06K9/00255 , G07B15/06 , G07C9/00087 , G08G1/017 , G08G1/207
摘要： A system for providing stand-off biometric verification of a driver of a vehicle while the vehicle is moving and/or a person on foot at a control gate, including an RFID vehicle tag reader, an RFID personal smart card reader and a facial detection and recognition (verification) system. The driver carries a RFID personal smart card that stores personal information of the driver and a face template of the driver. The vehicle carries a RFID vehicle tag that stores information regarding the vehicle. When the vehicle approaches the control gate, the RFID vehicle tag reader reads data from the RFID vehicle tag and the RFID personal tag reader reads data from the RFID personal smart card. The facial detection and verification system scans and reads a facial image for the driver. All the data and facial images detected by the readers are sent to a local computer at the control gate for further processing (final face verification). The local computer at the control gate decodes and retrieves the face template from the data read from the RFID personal smart card.
摘要翻译： 一种用于在车辆移动时提供车辆驾驶员的离线生物特征验证和/或在控制门上的人的行动的系统，包括RFID车辆标签读取器，RFID个人智能卡读取器和面部检测， 识别（验证）系统。 驾驶员携带RFID个人智能卡，其存储驾驶员的个人信息和驾驶员的面部模板。 车辆载有存储关于车辆的信息的RFID车辆标签。 当车辆接近控制门时，RFID车辆标签读取器从RFID车辆标签读取数据，并且RFID个人标签读取器从RFID个人智能卡读取数据。 面部检测和验证系统扫描并读取驾驶员的面部图像。 读取器检测到的所有数据和面部图像都将发送到控制门上的本地计算机进行进一步处理（最终面部验证）。 控制门上的本地计算机从RFID个人智能卡读取的数据解码并检索面部模板。
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公开(公告)号：US07720257B2
公开(公告)日：2010-05-18
申请号：US11154839
申请日：2005-06-16
CPC分类号： G06K9/32 , G06K9/00369 , G06K9/00771 , G06T7/246 , G06T7/254 , G06T7/292
摘要： A system for tracking objects across an area having a network of cameras with overlapping and non-overlapping fields of view. The system may use a combination of color, shape, texture and/or multi-resolution histograms for object representation or target modeling for the tacking of an object from one camera to another. The system may include user and output interfacing.
摘要翻译： 一种用于在具有重叠和非重叠视场的摄像机网络的区域上跟踪对象的系统。 系统可以使用颜色，形状，纹理和/或多分辨率直方图的组合来进行对象表示或目标建模，用于将对象从一个摄像机固定到另一个摄像机。 该系统可以包括用户和输出接口。
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