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31. 发明申请

US20070286456A1 STATIC CAMERA TRACKING SYSTEM 有权
标题翻译：静态摄像机跟踪系统
公开(公告)号：US20070286456A1
公开(公告)日：2007-12-13
申请号：US11423659
申请日：2006-06-12
申请人： Kartik B. Ariyur , Saad J. Bedros , Dennis W. Strelow , Vassilios Morellas
发明人： Kartik B. Ariyur , Saad J. Bedros , Dennis W. Strelow , Vassilios Morellas
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , H04N5/23203 , H04N5/23238
摘要： 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.
摘要翻译：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。

32. 发明授权

US09262668B2 Distant face recognition system 有权
标题翻译：遥距人脸识别系统
公开(公告)号：US09262668B2
公开(公告)日：2016-02-16
申请号：US12785318
申请日：2010-05-21
申请人： Saad J. Bedros , Ben Miller , Michael Janssen
发明人： Saad J. Bedros , Ben Miller , Michael Janssen
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： G06K9/00221 , G06K9/00255 , G06K9/00261 , G06K9/00295 , G06K9/00302
摘要： A method and system for automatic face recognition. A primary and a plurality of secondary video cameras can be provided to monitor a detection area. The primary video camera can detect people present in the detection zone. Data can be then transmitted to a prioritizor module that produces a prioritized list of detected people. The plurality of secondary video cameras then captures a high-resolution image of the faces of the people present in the detection area according to the prioritized list provided by the prioritizor module. The high-resolution images can be then provided to a face recognition module, which is used to identify the people present in the detection area.
摘要翻译：一种自动人脸识别的方法和系统。可以提供主要和多个辅助摄像机来监视检测区域。主要摄像机可以检测检测区域中存在的人员。然后可以将数据传送到产生检测到的人的优先列表的优先级模块。然后，多个次级摄像机根据由优先权者模块提供的优先级列表，捕获存在于检测区域中的人物的高分辨率图像。然后可以将高分辨率图像提供给面部识别模块，其用于识别存在于检测区域中的人。

33. 发明授权

US08823508B2 User interfaces for enabling information infusion to improve situation awareness 有权
标题翻译：用户界面用于启用信息输入以改善情境意识
公开(公告)号：US08823508B2
公开(公告)日：2014-09-02
申请号：US13017928
申请日：2011-01-31
申请人： Hari Thiruvengada , Tom Plocher , Paul Derby , Henry Chen , Saad J. Bedros
发明人： Hari Thiruvengada , Tom Plocher , Paul Derby , Henry Chen , Saad J. Bedros
IPC分类号： G08B25/00 , G08B23/00 , H04W24/00 , G06F3/041 , G08B13/196 , H04N7/18
CPC分类号： G08B13/19645 , G08B13/19682 , G08B13/19697 , H04N7/181 , H04N7/183
摘要： A security system is configured to display a representation of an area on a display unit, receive input from a plurality of different types of sensors that are positioned within the area, display a plurality of icons on the display unit, wherein the plurality of icons represents the locations of the plurality sensors in the area, and display in a panel on the display unit output from the plurality of sensors.
摘要翻译：安全系统被配置为在显示单元上显示区域的表示，从位于该区域内的多个不同类型的传感器接收输入，在显示单元上显示多个图标，其中多个图标表示多个传感器在该区域中的位置，并显示在从多个传感器输出的显示单元上的面板中。

34. 发明授权

US08792005B2 Method and system for automatically determining the camera field of view in a camera network 有权
标题翻译：自动确定摄像机网络中摄像机视场的方法和系统
公开(公告)号：US08792005B2
公开(公告)日：2014-07-29
申请号：US11605673
申请日：2006-11-29
申请人： Steve D. Huseth , Saad J. Bedros
发明人： Steve D. Huseth , Saad J. Bedros
IPC分类号： H04N7/18
CPC分类号： H04N7/181 , G08B13/1963 , G08B13/19636 , G08B13/19689
摘要： A system and method for automatically determining the camera field of view in a camera network. The system has a plurality of spatially separated cameras and direction sensors, carried on respective cameras, configured to measure the angle directions of the field of views of the cameras. Elevation sensors are operably coupled to respective cameras to measure the elevation angles of thereof. A controller is configured to process direction and elevation measurement signals transmitted from the cameras to automatically determine the cameras' fields of views. One or more cameras having a field of view containing or nearby an event of interest can be selected from the determined field of views and indicated to a user via a graphical user interface. Selected cameras which are rotatably mounted can be rotated if need be to automatically bring the event of interest into the field of views of the selected cameras.
摘要翻译：用于自动确定摄像机网络中的摄像机视场的系统和方法。该系统具有多个空间分离的相机和方向传感器，其被承载在相应的照相机上，被配置为测量相机视场的角度方向。仰角传感器可操作地耦合到各个相机以测量其仰角。控制器被配置为处理从相机发送的方向和仰角测量信号以自动确定摄像机的视野。可以从所确定的视野中选择一个或多个包含感兴趣事件附近或附近的视野的摄像机，并通过图形用户界面向用户指示。如果需要自动将感兴趣的事件引入所选择的相机的视野中，则可旋转地安装的所选相机可以旋转。

35. 发明授权

US08731238B2 Multiple view face tracking 有权
标题翻译：多视图人脸跟踪
公开(公告)号：US08731238B2
公开(公告)日：2014-05-20
申请号：US12482350
申请日：2009-06-10
申请人： Gurumurthy Swaminathan , Saad J. Bedros , Ullam Subbaraya Yadhunandan , Jana Trojanova
发明人： Gurumurthy Swaminathan , Saad J. Bedros , Ullam Subbaraya Yadhunandan , Jana Trojanova
IPC分类号： G06K9/00
CPC分类号： G06K9/621 , G06K9/00261 , G06K9/4623 , G06T7/251 , G06T7/277 , G06T2207/10016 , G06T2207/20076 , G06T2207/30201
摘要： A system and method track a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. A search is performed to determine appearance model similarity values of a detected face. Motion and appearance probabilities of the detected face are obtained, and the detected face in the video frame is associated with a track as a function of a joint probabilistic data association filter.
摘要翻译：系统和方法跟踪通过视频序列的多个帧移动的面部。获得视频帧中的脸部的预测位置。执行搜索以确定检测到的面部的外观模型相似性值。获得检测到的面部的运动和出现概率，并且视频帧中的检测到的面部与作为联合概率数据关联过滤器的函数的轨迹相关联。

36. 发明授权

US08442278B2 Covariance based face association 有权
标题翻译：协方差基于面协会
公开(公告)号：US08442278B2
公开(公告)日：2013-05-14
申请号：US12039627
申请日：2008-02-28
申请人： Saad J. Bedros , Roland Miezianko
发明人： Saad J. Bedros , Roland Miezianko
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06T7/292 , G06T7/42 , G06T2207/10021 , G06T2207/20048 , G06T2207/30201 , G06T2207/30232
摘要： A system and method are provided for associating faces to determine whether the faces are similar. For example a captured face may be associated with known faces to determine which known face the captured most closely resembles. The system and method incorporate the use of Gabor filters applied to masked face images to develop covariance matrixes. The covariance matrixes are subject to a similarity measure to determine the similarity of the images.
摘要翻译：提供了一种用于关联面部以确定面部是否相似的系统和方法。例如，捕获的面部可以与已知面部相关联，以确定所捕获的最接近相似的面孔。该系统和方法结合使用应用于蒙版面部图像的Gabor滤波器来开发协方差矩阵。协方差矩阵经受相似性度量以确定图像的相似性。

37. 发明申请

US20130063417A1 OBJECT ALIGNMENT FROM A 2-DIMENSIONAL IMAGE 有权
标题翻译：二维图像对象对齐
公开(公告)号：US20130063417A1
公开(公告)日：2013-03-14
申请号：US13228188
申请日：2011-09-08
申请人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan U S.
发明人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan U S.
IPC分类号： G06T15/00
CPC分类号： G06T15/00 , G06K9/00208 , G06K9/00221 , G06T7/344 , G06T7/50 , G06T17/20 , G06T2207/30201
摘要： The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-0) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.
摘要翻译：本公开提供了用于从对象的二维（2-0）图像进行对象对准的方法，机器可读介质和系统。一个或多个实施例包括在对象的3-D模型中定义2-D图像中的2-D形状和3维（3-D）形状，映射2-D上的多个对应点，以及 3-D形状，定义具有多个三角形的2-D和3-D形状，其中三角形数量的顶点数目对应于点数，细分定义2-D和3的三角形的数量 -D形成包括多个新顶点的多个细分三角形，并且通过从三维形状的多个细分三角形分配多个z坐标来从2D图像重建3D图像到2-D形状的多个细分三角形以产生3-D重建形状。

38. 发明申请

US20120321142A1 QUALITY DRIVEN IMAGE PROCESSING FOR OCULAR RECOGNITION SYSTEM 有权
标题翻译：用于OCULAR识别系统的质量驱动图像处理
公开(公告)号：US20120321142A1
公开(公告)日：2012-12-20
申请号：US13161069
申请日：2011-06-15
申请人： Jana Trojanova , Saad J. Bedros
发明人： Jana Trojanova , Saad J. Bedros
IPC分类号： G06K9/46 , G06K9/00
CPC分类号： G06K9/00597 , G06K9/00281 , G06K9/036 , G06K9/6209 , G06K9/621 , G06K9/6257
摘要： A method and system include receiving an image to process for an image recognition system, determining a quality of the received image, and creating a point distribution model for an active shape model, wherein the point distribution model has a number of points defining an outline of the image, the number of points being determined as a function of the quality of the image. A further method includes selecting a target local appearance model for fitting a point as a function of the determined quality of the received image to determine the location of the point. Yet a further method includes matching the probe image to a plurality of target images using a quality driven cascade classifier.
摘要翻译：一种方法和系统包括接收图像以处理图像识别系统，确定接收到的图像的质量，以及为活动形状模型创建点分布模型，其中点分布模型具有多个点，其定义了图像，根据图像的质量确定点的数量。另一种方法包括：根据所确定的接收图像的质量来选择用于拟合点的目标局部外观模型，以确定点的位置。另一种方法包括使用质量驱动级联分类器将探测图像与多个目标图像进行匹配。

39. 发明授权

US08275205B2 Prioritizer system for target acquisition 有权
标题翻译：用于目标获取的优先系统
公开(公告)号：US08275205B2
公开(公告)日：2012-09-25
申请号：US12495557
申请日：2009-07-23
申请人： Michael Ray Elgersma , Saad J. Bedros , Michael Janssen , Ben Miller
发明人： Michael Ray Elgersma , Saad J. Bedros , Michael Janssen , Ben Miller
IPC分类号： G06K9/62 , H04N5/225
CPC分类号： G06K9/00255 , G06K9/00778 , H04N7/185
摘要： A system having an approach for prioritizing targets for an order of capturing the targets photographically or otherwise. Prioritizing is based on cost of obtaining or capturing the target for viewing or photographing in high resolution. One acquisition mechanism is for obtaining a wide field of view of a scene of targets and another acquisition mechanism is for obtaining a narrow field of view of a target for capture. The cost for prioritizing is based on the time that the narrow field of view acquisition mechanism takes to pan and tilt to get a close-up image of a target divided by the width of the target. The targets may be faces of people.
摘要翻译：一种具有用于按照照相或其他方式捕获目标的顺序的目标优先级的方法的系统。优先级是基于获得或捕获高分辨率观看或拍摄目标的成本。一种采集机制是用于获得目标场景的宽视场，另一采集机构用于获得用于捕获的目标的窄视场。优先级的成本是基于狭窄的视野采集机制平移和倾斜以获得目标的特写图像除以目标的宽度的时间。目标可能是人的面孔。

40. 发明申请

US20110285845A1 DISTANT FACE RECOGNITION SYSTEM 有权
标题翻译：远距离识别系统
公开(公告)号：US20110285845A1
公开(公告)日：2011-11-24
申请号：US12785318
申请日：2010-05-21
申请人： Saad J. Bedros , Ben Miller , Michael Janssen
发明人： Saad J. Bedros , Ben Miller , Michael Janssen
IPC分类号： G06K9/00 , H04N7/18
CPC分类号： G06K9/00221 , G06K9/00255 , G06K9/00261 , G06K9/00295 , G06K9/00302
摘要： A method and system for automatic face recognition. A primary and a plurality of secondary video cameras can be provided to monitor a detection area. The primary video camera can detect people present in the detection zone. Data can be then transmitted to a prioritizor module that produces a prioritized list of detected people. The plurality of secondary video cameras then captures a high-resolution image of the faces of the people present in the detection area according to the prioritized list provided by the prioritizor module. The high-resolution images can be then provided to a face recognition module, which is used to identify the people present in the detection area.
摘要翻译：一种自动人脸识别的方法和系统。可以提供主要和多个辅助摄像机来监视检测区域。主要摄像机可以检测检测区域中存在的人员。然后可以将数据传送到产生检测到的人的优先列表的优先级模块。然后，多个次级摄像机根据由优先权者模块提供的优先级列表，捕获存在于检测区域中的人物的高分辨率图像。然后可以将高分辨率图像提供给面部识别模块，其用于识别存在于检测区域中的人。

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