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    • 2. 发明授权
    • Unsupervised learning of events in a video sequence
    • 无监督的视频序列中的事件学习
    • US07606425B2
    • 2009-10-20
    • US10938244
    • 2004-09-09
    • Michael E. BazakosYunqian MaVassilios Morellas
    • Michael E. BazakosYunqian MaVassilios Morellas
    • G06K9/00
    • G08B13/19606G06K9/00335G06K9/00771G08B13/19641G08B13/19673G08B13/19682G08B13/19693G08B21/0423G08B21/0476
    • Methods and systems for the unsupervised learning of events contained within a video sequence, including apparatus and interfaces for implementing such systems and methods, are disclosed. An illustrative method in accordance with an exemplary embodiment of the present invention may include the steps of providing a behavioral analysis engine, initiating a training phase mode within the behavioral analysis engine and obtaining a feature vector including one or more parameters relating to an object located within an image sequence, and then analyzing the feature vector to determine a number of possible event candidates. The behavioral analysis engine can be configured to prompt the user to confirm whether an event candidate is a new event, an existing event, or an outlier. Once trained, a testing/operational phase mode of the behavioral analysis engine can be further implemented to detect the occurrence of one or more learned events, if desired.
    • 公开了用于无监督学习视频序列中包含的事件的方法和系统,包括用于实现这种系统和方法的装置和接口。 根据本发明的示例性实施例的说明性方法可以包括以下步骤:提供行为分析引擎,在行为分析引擎内启动训练阶段模式,并获得包括与位于其内的对象有关的一个或多个参数的特征向量 图像序列,然后分析特征向量以确定可能的事件候选的数量。 行为分析引擎可以被配置为提示用户确认事件候选是否是新事件,现有事件或异常值。 一旦被训练,如果需要,可以进一步实施行为分析引擎的测试/操作阶段模式以检测一个或多个学习事件的发生。
    • 3. 发明授权
    • Face detection and tracking in a wide field of view
    • 人脸检测和跟踪在广泛的视野
    • US07806604B2
    • 2010-10-05
    • US11163497
    • 2005-10-20
    • Michael E. BazakosVassilios Morellas
    • Michael E. BazakosVassilios Morellas
    • G03B17/00H04N7/18
    • G06K9/00255
    • Facial detection and tracking systems and methods within a wide field of view are disclosed. A facial detection and tracking system in accordance with an illustrative embodiment of the present invention can include a wide field of view camera for detecting and tracking one or more objects within a wider field of view, and at least one narrower field of view camera for obtaining a higher-resolution image of each object located within a subset space of the wider field of view. The wide field of view camera can be operatively coupled to a computer or other such device that determines the subset space location of the individual within the wider field of view, and then tasks one or more of the narrower field of view cameras covering the subset space location to obtain a high-resolution image of the object.
    • 公开了广泛的视野内的面部检测和跟踪系统和方法。 根据本发明的说明性实施例的面部检测和跟踪系统可以包括用于检测和跟踪更宽视场内的一个或多个对象的宽视场相机,以及用于获得的至少一个较窄的视野相机 位于更宽视场的子集空间内的每个对象的更高分辨率图像。 宽视场摄像机可以可操作地耦合到计算机或其他这样的设备,其确定个体在较宽视野范围内的子集空间位置,然后将覆盖子集空间的较窄视野摄像机中的一个或多个任务 位置以获得对象的高分辨率图像。
    • 5. 发明授权
    • Infrared face detection and recognition system
    • 红外面部检测和识别系统
    • US07469060B2
    • 2008-12-23
    • US10987368
    • 2004-11-12
    • Michael E. BazakosVassilios MorellasAndrew JohnsonYunqian Ma
    • Michael E. BazakosVassilios MorellasAndrew JohnsonYunqian Ma
    • G06K9/34
    • H04N5/23219G06K9/00255
    • A face detection and recognition system having several arrays imaging a scene at different bands of the infrared spectrum. The system may use weighted subtracting and thresholding to distinguish human skin in a sensed image. A feature selector may locate a face in the image. The face may be framed or the image cropped with a frame or border to incorporate essentially only the face. The border may be superimposed on an image direct from an imaging array. A sub-image containing the face may be extracted from within the border and compared with a database of face information to attain recognition of the face. A level of recognition of the face may be established. Infrared lighting may be used as needed to illuminate the scene.
    • 具有若干阵列的人脸检测和识别系统对红外光谱的不同频带的场景进行成像。 系统可以使用加权减法和阈值来区分感测图像中的人皮肤。 特征选择器可以在图像中定位一个面。 脸部可能被框起来,或者用框架或边框裁剪的图像基本上只包括脸部。 边界可以直接从成像阵列叠加在图像上。 可以从边框内提取包含脸部的子图像,并与面部信息的数据库进行比较以获得脸部的识别。 可以建立对面部的认可程度。 可以根据需要使用红外线照明来照亮场景。
    • 6. 发明授权
    • Distributed stand-off ID verification compatible with multiple face recognition systems (FRS)
    • 与多个人脸识别系统(FRS)兼容的分布式对立身份验证
    • US07817013B2
    • 2010-10-19
    • US11290524
    • 2005-12-01
    • Michael E. BazakosDavid W. MeyersVassilios Morellas
    • Michael E. BazakosDavid W. MeyersVassilios Morellas
    • B60R25/00
    • G06K9/00228G06K9/6289G07B15/06G07C9/00087
    • 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.
    • 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。
    • 7. 发明授权
    • Infrared and visible fusion face recognition system
    • 红外和可见融合面识别系统
    • US07602942B2
    • 2009-10-13
    • US10987806
    • 2004-11-12
    • Michael E. BazakosVassilios MorellasYunqian Ma
    • Michael E. BazakosVassilios MorellasYunqian Ma
    • G06K9/00
    • G06K9/00255G01J3/36
    • A face detection and recognition system having several arrays imaging a scene in the infrared and visible spectrums. The system may use weighted subtracting and thresholding to distinguish human skin in a sensed image. A feature selector may locate a face in the image. The image may be cropped with a frame or border incorporating essentially only the face. The border may be superimposed on images from an infrared imaging array and the visible imaging array. Sub-images containing the face may be extracted from within the border on the infrared and visible images, respectively, and compared with a database of face information to attain recognition of the face. Confidence levels of recognition for infrared and visible imaged faces may be established. A resultant confidence level of recognition may be determined from these confidence levels. Infrared lighting may be used as needed to illuminate the scene.
    • 一种面部检测和识别系统,其具有若干阵列,用于对红外和可见光谱中的场景进行成像。 系统可以使用加权减法和阈值来区分感测图像中的人皮肤。 特征选择器可以在图像中定位一个面。 图像可以用基本上仅包含脸部的框架或边框来裁剪。 边界可以叠加在来自红外成像阵列和可见成像阵列的图像上。 可以分别从红外线和可见图像的边界内提取包含脸部的子图像,并与面部信息的数据库进行比较以获得脸部的识别。 可以确定红外和可见成像面的识别水平。 可以从这些置信水平确定所得到的识别水平。 可以根据需要使用红外线照明来照亮场景。
    • 9. 发明授权
    • Tracking a moving object from a camera on a moving platform
    • 从移动平台上的相机跟踪移动物体
    • US07541565B2
    • 2009-06-02
    • US12177550
    • 2008-07-22
    • Kartik B. AriyurSaad J. BedrosVassilios Morellas
    • Kartik B. AriyurSaad J. BedrosVassilios Morellas
    • G01J1/20G01C21/02
    • G06K9/209G01S3/7864G06K9/32G06T7/246G06T2207/10016G06T2207/30181G06T2207/30212
    • A computer-readable medium having computer-executable instructions for performing a method. The method includes determining the transformation of an origin of an imaging device positioned in a vehicle and implementing exponentially stabilizing control laws based on the determined transformation and a distance to an imaged target. The method also includes generating a rotation output from the exponentially stabilizing control laws, generating a zoom output from the exponentially stabilizing control laws, determining a system latency in redirecting an optical axis and modifying a lens system along the optical axis, and determining the transformation of the origin of the imaging device with respect to global coordinates. A centroid of the target image is maintained within a selected distance from the origin of the imaging device. The apparent distance between the imaged target and the imaging device is also maintained.
    • 一种具有用于执行方法的计算机可执行指令的计算机可读介质。 该方法包括确定位于车辆中的成像装置的原点的变换,并且基于所确定的变换和到成像的目标的距离来实现指数稳定控制定律。 该方法还包括从指数稳定控制定律产生旋转输出,从指数稳定控制定律产生变焦输出,确定重定向光轴并沿着光轴修改透镜系统的系统等待时间,以及确定 成像装置的起点相对于全局坐标。 目标图像的质心保持在距离成像装置原点的选定距离内。 还保持成像的目标和成像装置之间的视距。
    • 10. 发明申请
    • STATIC CAMERA TRACKING SYSTEM
    • 静态摄像机跟踪系统
    • US20070286456A1
    • 2007-12-13
    • US11423659
    • 2006-06-12
    • Kartik B. AriyurSaad J. BedrosDennis W. StrelowVassilios Morellas
    • Kartik B. AriyurSaad J. BedrosDennis W. StrelowVassilios Morellas
    • G06K9/00
    • G06K9/32H04N5/23203H04N5/23238
    • A system for autonomous object tracking with static camera arrangements. Each camera arrangement may minimally have a pan-tilt-zoom camera and a range or depth sensor. Imaging may provide coordinates and depth information of a tracked object. Measurements of an image centroid position and width may be obtained with processing. Maintaining an image at the center of a camera screen may be attained at a pixel width of the image. Estimation and prediction of object size and position may be processed for providing pan, tilt and zoom rates for the camera. Pan, tilt and zoom latency may be accounted for in the system. There may be a number of camera arrangements where tracking of the object may be handed off by one camera arrangement to another.
    • 一种用于静态摄像机布置的自动对象跟踪系统。 每个相机装置可以最小化地具有俯仰 - 变焦相机和范围或深度传感器。 成像可以提供跟踪对象的坐标和深度信息。 可以通过处理获得图像质心位置和宽度的测量。 可以在图像的像素宽度处获得在相机屏幕的中心处的图像。 可以处理物体尺寸和位置的估计和预测,以便为相机提供平移,倾斜和缩放率。 平移,倾斜和缩放延迟可能在系统中被考虑。 可能存在若干摄像机布置,其中对象的跟踪可以被一个摄像机装置切换到另一个。