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11. 发明申请

US20120314913A1 SYSTEM AND METHOD FOR OCULAR RECOGNITION 有权
标题翻译：用于视觉识别的系统和方法
公开(公告)号：US20120314913A1
公开(公告)日：2012-12-13
申请号：US13155548
申请日：2011-06-08
申请人： Saad J. Bedros , Jana Trojanova
发明人： Saad J. Bedros , Jana Trojanova
IPC分类号： G06K9/68
CPC分类号： G06K9/00604 , G06K9/4623
摘要： A system and method include decomposing via a computer an ocular region into several filtered images of different orientation and scale, using the computer to combine the decomposed images for each scale, using a computer executed classifier for each scale, matching across different quality images, and using a computer, constructing a matching score by combining the scale scores using adaptively weighted sum for each scale.
摘要翻译：系统和方法包括通过计算机将眼部区域分解为不同取向和尺度的几个滤波图像，使用计算机对每个比例组合分解的图像，使用用于每个比例的计算机执行的分类器，跨不同质量图像匹配，以及使用计算机，通过使用每个比例的自适应加权和来组合比例分数来构建匹配分数。

12. 发明申请

US20120148160A1 LANDMARK LOCALIZATION FOR FACIAL IMAGERY 审中-公开
标题翻译：地面图像的LANDMARK本地化
公开(公告)号：US20120148160A1
公开(公告)日：2012-06-14
申请号：US12832613
申请日：2010-07-08
申请人： Gurumurthy Swaminathan , Saad J. Bedros
发明人： Gurumurthy Swaminathan , Saad J. Bedros
IPC分类号： G06K9/46
CPC分类号： G06K9/00281
摘要： A process and system for facial landmark detection of a face in a scene of an image includes determining face dimensions from the image, identifying regions of search for one or more facial landmarks using the face dimensions, and running a cascaded classifier and a strong classifier tailored to detect different types of facial landmarks to determine one or more respective locations of the facial landmarks. According to another example embodiment, the facial landmarks are used for face mining or face recognition, and the cascaded classifier is performed using a multi-staged AdaBoost classifier, where detections from multiple stages are utilized to enable the best location of the landmark. According to another example embodiment, the strong classifier is a support vector machine (SVM) classifier with input features processed by a principal component analysis (PCA) of the landmark subimage.
摘要翻译：用于面部地图检测图像场景中的面部的过程和系统包括从图像确定面部尺寸，使用面部尺寸识别搜索一个或多个面部地标的区域，以及运行级联分类器和强分类器以检测不同类型的面部地标以确定面部地标的一个或多个相应的位置。根据另一示例性实施例，面部地标用于面部挖掘或面部识别，并且使用多级AdaBoost分类器来执行级联分类器，其中利用来自多个级的检测来实现地标的最佳位置。根据另一示例实施例，强分类器是具有由地标子图像的主成分分析（PCA）处理的输入特征的支持向量机（SVM）分类器。

13. 发明授权

US07756415B2 Method and system for automatically estimating the spatial positions of cameras in a camera network 有权
标题翻译：用于自动估计摄像机网络中摄像机的空间位置的方法和系统
公开(公告)号：US07756415B2
公开(公告)日：2010-07-13
申请号：US11599246
申请日：2006-11-13
申请人： Steve D. Huseth , Soumitri N. Kolavennu , Saad J. Bedros , Isaac Cohen
发明人： Steve D. Huseth , Soumitri N. Kolavennu , Saad J. Bedros , Isaac Cohen
IPC分类号： G03B17/48 , H04N7/18 , G08B13/14 , G01S3/02
CPC分类号： H04N5/247 , G01S5/02
摘要： A method for automatically estimating the spatial positions between cameras in a camera network utilizes unique identifying signals, such as RFID signals, transmitting between nearby cameras to estimate the relative distances or positions between cameras from received signal strength (RSS), time of arrival (TOA), or time difference of arrival (TDOA) measurements to thereby determine the neighboring relationship among the cameras. A discover-locate process can be used to discover, from the estimated relative distances, unknown cameras in the vicinity of at least three cameras at known locations. Absolute locations of the discovered unknown cameras can then be calculated using a geometric calculation. The discover-locate process can be cascaded throughout the network to discover and locate all unknown cameras automatically using previously discovered and located cameras. Such methods can be implemented in systems having cameras with transceivers integrated therein and a controller operably linked to the cameras.
摘要翻译：用于自动估计摄像机网络中的摄像机之间的空间位置的方法利用诸如RFID信号之类的唯一识别信号，在邻近摄像机之间传输，以从接收信号强度（RSS），到达时间（TOA）估计摄像机之间的相对距离或位置）或到达时间差（TDOA）测量，从而确定相机之间的相邻关系。可以使用发现定位过程从估计的相对距离中发现在已知位置处的至少三个相机附近的未知摄像机。然后可以使用几何计算来计算发现的未知摄像机的绝对位置。发现定位过程可以在整个网络中级联，以使用先前发现和定位的相机自动发现和定位所有未知摄像机。这样的方法可以在具有集成有收发器的相机的系统中实现，以及可操作地连接到相机的控制器。

14. 发明申请

US20100058247A1 METHODS AND SYSTEMS OF A USER INTERFACE 审中-公开
标题翻译：用户界面的方法和系统
公开(公告)号：US20100058247A1
公开(公告)日：2010-03-04
申请号：US12204574
申请日：2008-09-04
申请人： Henry Chen , Jeng Jun Li , Tom Plocher , Saad J. Bedros
发明人： Henry Chen , Jeng Jun Li , Tom Plocher , Saad J. Bedros
IPC分类号： G06F3/048
CPC分类号： G06F8/38
摘要： One embodiment of the application provides a method including segmenting a 3D polygon mesh into a plurality of widgets, defining a state variable for each widget, defining a behavior for each widget, and assembling a three-dimensional user interface from the widgets, the state variables, and the behaviors.
摘要翻译：应用程序的一个实施例提供了一种方法，包括将3D多边形网格分割成多个小部件，为每个小部件定义状态变量，定义每个小部件的行为，以及从小部件组装三维用户界面，状态变量和行为。

15. 发明申请

US20090022364A1 MULTI-POSE FAC TRACKING USING MULTIPLE APPEARANCE MODELS 有权
标题翻译：使用多个外观模型的多位置FAC跟踪
公开(公告)号：US20090022364A1
公开(公告)日：2009-01-22
申请号：US11780238
申请日：2007-07-19
申请人： Gurumurthy Swaminathan , Vijendran G. Venkoparao , Rudra N. Hota , Saad J. Bedros , Michal Juza
发明人： Gurumurthy Swaminathan , Vijendran G. Venkoparao , Rudra N. Hota , Saad J. Bedros , Michal Juza
IPC分类号： G06K9/00
CPC分类号： G06K9/00261 , G06T7/251 , G06T7/277 , G06T7/75 , G06T2207/10016 , G06T2207/30201
摘要： A system and method are provided for tracking a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. Similarity matching for both a color model and an edge model are performed to derive correlation values for each about the predicted position. The correlation values are then combined to determine a best position and scale match to track a face in the video.
摘要翻译：提供了一种用于跟踪通过视频序列的多个帧移动的面部的系统和方法。获得视频帧中的脸部的预测位置。执行颜色模型和边缘模型的相似性匹配以导出关于预测位置的相关值。然后将相关值组合以确定用于跟踪视频中的脸部的最佳位置和比例匹配。

16. 发明授权

US08941651B2 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：US08941651B2
公开(公告)日：2015-01-27
申请号：US13228188
申请日：2011-09-08
申请人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan Ullam Subbaraya
发明人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan Ullam Subbaraya
IPC分类号： G06T17/20 , G06T17/00 , G06T19/00 , G06T15/00 , G06T7/00 , G06K9/00
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-D) 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-D）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。

17. 发明申请

US20130243268A1 FACE IMAGE PRIORITIZATION BASED ON FACE QUALITY ANALYSIS 有权
标题翻译：基于面质量分析的面部图像优化
公开(公告)号：US20130243268A1
公开(公告)日：2013-09-19
申请号：US13419142
申请日：2012-03-13
申请人： Saad J. Bedros , Pedro Davalos , Ben Miller
发明人： Saad J. Bedros , Pedro Davalos , Ben Miller
IPC分类号： G06K9/00
CPC分类号： G06K9/036 , G06K9/00221
摘要： Methods, machine-readable media, and devices for face image prioritization based on face quality analysis are described herein. For example, one or more embodiments include detecting a facial image in an image that has been acquired by a camera that monitors a scene, passing the facial image through a number of quality analysis filters that include a number of quality analysis factors, wherein processing complexity associated with the number of quality analysis factors increases consecutively, and submitting the facial image to a facial recognition program upon a determination that the facial image has passed the number of quality analysis filters.
摘要翻译：本文描述了基于面部质量分析的方法，机器可读介质和用于面部图像优先化的设备。例如，一个或多个实施例包括检测已经由监视场景的照相机获取的图像中的面部图像，使面部图像通过包括多个质量分析因子的多个质量分析过滤器，其中处理复杂度与质量分析因子的数量连续增加相关联，并且在确定面部图像已经通过质量分析过滤器的数量时，将面部图像提交给面部识别程序。

18. 发明授权

US08520895B2 System and method for range and velocity estimation in video data as a function of anthropometric measures 有权
标题翻译：视频数据中范围和速度估计的系统和方法作为人体测量的一个功能
公开(公告)号：US08520895B2
公开(公告)日：2013-08-27
申请号：US12980898
申请日：2010-12-29
申请人： Kwong Wing Au , Saad J. Bedros
发明人： Kwong Wing Au , Saad J. Bedros
IPC分类号： G06K9/00
CPC分类号： G01P3/38 , F41G3/06 , G01S11/12 , G06T7/269 , G06T7/50 , G06T2207/10016 , G06T2207/30196 , G06T2207/30212
摘要： A system and method calculate a range and velocity of an object in image data. The range calculation includes detecting a contour of the object from the image data, forming a template from the image data based on the contour; and calculating a range to the object using pixel resolution and dimension statistics of the object. A three-dimensional velocity of the object is determined by calculating a radial component and an angular component of the velocity. The radial velocity component is calculated by determining the range of the object in two or more image frames, determining a time differential between the two or more image frames, and calculating the radial velocity as a function of the range of the object in the two or more image frames and the time differential between the two or more image frames. The angular component is calculated using spatial-temporal derivatives as a function of a motion constraint equation.
摘要翻译：系统和方法计算图像数据中对象的范围和速度。范围计算包括从图像数据检测对象的轮廓，基于轮廓从图像数据形成模板; 并使用对象的像素分辨率和维度统计来计算对象的范围。通过计算速度的径向分量和角分量来确定对象的三维速度。通过确定两个或多个图像帧中的对象的范围，确定两个或更多个图像帧之间的时间差，并且计算作为两个或更多个图像帧中的对象的范围的函数的径向速度来计算径向速度分量更多的图像帧和两个或更多个图像帧之间的时间差。使用空间 - 时间导数作为运动约束方程的函数来计算角分量。

19. 发明申请

US20110128385A1 MULTI CAMERA REGISTRATION FOR HIGH RESOLUTION TARGET CAPTURE 审中-公开
标题翻译：用于高分辨率目标捕获的多摄像机登记
公开(公告)号：US20110128385A1
公开(公告)日：2011-06-02
申请号：US12629733
申请日：2009-12-02
申请人： Saad J. Bedros , Ben Miller , Michael Janssen
发明人： Saad J. Bedros , Ben Miller , Michael Janssen
IPC分类号： H04N5/33 , H04N5/225 , H04N5/262 , H04N5/228
CPC分类号： H04N7/181 , H04N5/232 , H04N5/23219 , H04N5/247
摘要： A multi-camera arrangement for capturing a high resolution image of a target. A first camera may be for capturing a wide field of view low resolution image having a target. The target or a component of it may be border-boxed with a marking. The target may be a human being component, such as a face, having approximately the same size among virtually all humans. A distance of the target may be determined from a known size of a component of the target. The target may be other items of similar size. Coordinates of pixels of the image portion containing the target may be mapped to a pan, tilt and zoom (PTZ) camera. The pan and tilt of the PTZ camera may be adjusted according to image information from the wide field of view camera. Then the PTZ camera may zoom in on the target to obtain a high resolution image of the target.
摘要翻译：用于捕获目标的高分辨率图像的多相机布置。第一相机可以用于捕获具有目标的宽视场低分辨率图像。目标或其组件可能带有标记的边框。目标可以是人类组成部分，例如面部，在几乎所有人中具有大致相同的大小。可以根据目标的分量的已知大小来确定目标的距离。目标可能是其他类似大小的项目。可以将包含目标的图像部分的像素的坐标映射到平移，倾斜和变焦（PTZ）相机。 PTZ摄像机的摇摄和倾斜可以根据来自宽视野摄像机的图像信息进行调整。然后PTZ摄像机可以放大目标以获得目标的高分辨率图像。

20. 发明授权

US07760908B2 Event packaged video sequence 有权
标题翻译：事件打包视频序列
公开(公告)号：US07760908B2
公开(公告)日：2010-07-20
申请号：US10907411
申请日：2005-03-31
申请人： Keith L. Curtner , Saad J. Bedros , KwongWing Au
发明人： Keith L. Curtner , Saad J. Bedros , KwongWing Au
IPC分类号： G06K9/00
CPC分类号： G11B27/28 , G06F17/3079 , G06F17/30831 , G08B13/19606 , G08B13/19613 , G08B13/19669 , G08B13/19671 , G08B13/1968 , G08B13/19682 , G11B27/322 , H04N7/181
摘要： Methods and systems for packaging video sequences based on user-specified events are described herein. An illustrative method of event-packaging a video sequence may include the steps of acquiring a video stream containing an event of interest, extracting various event information from the video stream and storing one or more event parameters within an event database, extracting a video clip from the video stream containing the event of interest, associating metadata representing the event parameters to the video clip, and exporting the video clip containing the event of interest and associated metadata to an external agent. In certain embodiments, a video image-processing appliance manager and/or one or more appliance modules can be provided to automatically extract event information from the acquired video stream, and to manage the indexing and storage of event parameters within the event database. A graphical user interface may also be provided to permit the event information extracted from the video stream to be compared against a set of user-specified event parameters.
摘要翻译：本文描述了基于用户指定事件来封装视频序列的方法和系统。事件包装视频序列的说明性方法可以包括以下步骤：获取包含感兴趣事件的视频流，从视频流中提取各种事件信息，并将一个或多个事件参数存储在事件数据库内，从所述视频流包含感兴趣的事件，将表示所述事件参数的元数据与所述视频剪辑相关联，以及将包含感兴趣事件的视频剪辑和相关联的元数据导出到外部代理。在某些实施例中，视频图像处理设备管理器和/或一个或多个设备模块可被提供以从所获取的视频流自动提取事件信息，并且管理事件数据库内的事件参数的索引和存储。还可以提供图形用户界面以允许将从视频流提取的事件信息与一组用户指定的事件参数进行比较。

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