公开(公告)号：US5867587A

公开(公告)日：1999-02-02

申请号：US858771

申请日：1997-05-19

Applicant: Omar Aboutalib ,  Richard Roy Ramroth

Inventor： Omar Aboutalib ,  Richard Roy Ramroth

IPC: G08B21/06 ,  G06K9/00

CPC classification number: G08B21/06

Abstract: A system and method for detecting and warning of an impaired operator, such as a drowsy vehicle/machine operator or air traffic controller. The system and method employ an imaging apparatus which produces consecutive digital images including the face and eyes of an operator. There is an eye finding unit which determines the location of the operator's eyes within each digital image, and generates correlation coefficients corresponding to each eye which quantify the degree of correspondence between pixels associated with the location of the operator's eye in an immediately preceding image in comparison to pixels associated with the location of the operator's eye in a current image. An impaired operator detection unit is used to average the first N consecutive correlation coefficients generated to generate a first average correlation coefficient. After the production of each subsequent image by the imaging apparatus, the impaired operator detection unit averages the previous N consecutive correlation coefficients generated to create a next average correlation coefficient. Next, the impaired operator detection unit analyzes the average correlation coefficients associated with each eye to extract at least one parameter attributable to an eyeblink of the operator's eyes. These extracted parameters are compared to an alert operator threshold associated with that parameter. An impaired operator warning unit is used to indicate that the operator may be impaired if any extracted parameters deviate from the associated threshold in a prescribed way.

Abstract translation: 用于检测和警告受损操作者的系统和方法，例如困倦的车辆/机器操作员或空中交通管制员。 该系统和方法采用产生包括操作者的脸部和眼睛的连续数字图像的成像装置。 有一个眼睛发现单元，其确定每个数字图像内操作者眼睛的位置，并产生对应于每只眼睛的相关系数，其量化与之前的图像中的操作者的眼睛位置相对应的像素之间的对应程度 到与当前图像中的操作者的眼睛的位置相关联的像素。 使用受损操作者检测单元对生成的第一N个连续相关系数进行平均以产生第一平均相关系数。 在通过成像装置生成每个后续图像之后，受损操作者检测单元对生成的先前N个连续相关系数进行平均，以创建下一个平均相关系数。 接下来，受损操作者检测单元分析与每只眼睛相关联的平均相关系数，以提取归因于操作者的眼睛的眼睛链的至少一个参数。 将这些提取的参数与与该参数相关联的警报操作者阈值进行比较。 受损操作员警告单元用于指示如果提取的参数以规定的方式偏离相关联的阈值，则操作者可能被削弱。

公开(公告)号：US07536365B2

公开(公告)日：2009-05-19

申请号：US11297679

申请日：2005-12-08

Applicant: Omar Aboutalib

Inventor： Omar Aboutalib

IPC: G06N5/00

CPC classification number: G06K9/3241 ,  G06K9/6288

Abstract: A method comprises the steps of: producing one or more signals representative of a feature of a target or area of interest, statistically processing the signals to produce one or more first hypotheses of the target or area of interest, comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, and comparing the second hypotheses to one or more models in a model library to produce a target decision. An apparatus that performs the method is also provided.

Abstract translation: 一种方法包括以下步骤：产生表示目标或感兴趣区域的特征的一个或多个信号，统计处理信号以产生目标或感兴趣区域的一个或多个第一假设，将第一假设与一个或多个 模板库中的更多模板以产生一个或多个第二假设，以及将第二假设与模型库中的一个或多个模型进行比较以产生目标决策。 还提供了执行该方法的装置。

公开(公告)号：US20070081723A1

公开(公告)日：2007-04-12

申请号：US11247422

申请日：2005-10-11

Applicant: Omar Aboutalib ,  Richard Ramroth ,  Bea Thai

Inventor： Omar Aboutalib ,  Richard Ramroth ,  Bea Thai

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/34

CPC classification number: G06K9/00201 ,  G06K2209/29

Abstract: The invention is a process for identifying an unknown object. In detail, the process includes the steps of: 1) compiling data on selected features on a plurality of segments of a plurality of known objects; 2) illuminating the unknown object with a laser radar system; 3) dividing the unknown object into a plurality segments corresponding to each of the segments of the known objects; 4) sequentially measuring selected features of each of the plurality of segments of the unknown object; and 5) comparing the sequentially measuring selected features of each of the plurality of segments of the unknown object to the selected features on the plurality of segments of the plurality of known objects.

Abstract translation: 本发明是识别未知物体的过程。 具体而言，该过程包括以下步骤：1）在多个已知对象的多个段上编译所选特征上的数据; 2）用激光雷达系统照亮未知物体; 3）将未知对象划分成对应于已知对象的每个段的多个段; 4）顺序地测量未知物体的多个片段中的每一个的所选特征; 以及5）将所述未知对象的所述多个片段中的每一个的所选特征顺序地测量到所述多个已知对象的所述多个片段上的所选特征。

公开(公告)号：US07558772B2

公开(公告)日：2009-07-07

申请号：US11297145

申请日：2005-12-08

Applicant: Omar Aboutalib

Inventor： Omar Aboutalib

IPC: G06N5/00

CPC classification number: G06K9/6288 ,  G06N7/005 ,  G06N99/005

Abstract: A method of data fusion comprises the steps of: receiving a plurality of decisions and associated confidences; determining probabilities of a set of the decisions; if the probabilities are not zero, then choosing the decision having a highest likelihood from the plurality of decisions; and if the probabilities are zero, then selecting an algorithm to be used for choosing one of the decisions.

Abstract translation: 一种数据融合的方法包括以下步骤：接收多个决定和相关信号; 确定一组决定的概率; 如果概率不为零，则从多个决定中选择具有最高可能性的决策; 并且如果概率为零，则选择要用于选择其中一个决策的算法。

公开(公告)号：US20050002570A1

公开(公告)日：2005-01-06

申请号：US10193413

申请日：2002-07-10

Applicant: Walter Clark ,  Omar Aboutalib ,  Liya Su

Inventor： Walter Clark ,  Omar Aboutalib ,  Liya Su

IPC: G06K9/46 ,  G06T5/00 ,  G06K9/48 ,  G06K9/36

CPC classification number: G06K9/4609 ,  G06T7/12 ,  G06T2207/10016 ,  G06T2207/10048 ,  G06T2207/20132

Abstract: The present invention includes a method for analyzing an image wherein elements defining a path within a two-dimensional image are received from a prescreener. A Sobel operator may be applied to the region around each of the elements of the chain to obtain a corresponding array of gradient directions. An angle correction may be applied to any of the gradient directions that goes beyond the highest value (in radian measure; the Pi −Pi transition), to obtain an array of gradient directions free of any artificial jumps in value. The gradient direction array (Sobel chaincode) can have its bandwidth taken to determine a single number of straightness so as to identify extremely straight edges, (manmade objects) from less straight edges (natural objects). A similar process can be used to analyze contours for straight sections, which are also parallel. These two and other filters applied to the gradient array can be part of a feature suite, for feature space analysis.

Abstract translation: 本发明包括一种用于分析图像的方法，其中从预分频器接收定义二维图像内的路径的元素。 可以将Sobel算子应用于链的每个元素周围的区域以获得相应的梯度方向阵列。 角度校正可以应用于任何超过最高值的梯度方向（以弧度测量; Pi -Pi转换），以获得没有任何人造跳跃值的梯度方向阵列。 梯度方向阵列（Sobel链码）可以采取其带宽来确定单个数量的直线度，以便从较不直边（自然对象）识别非常直的边缘（人造物体）。 可以使用类似的过程来分析直线段的轮廓，这也是平行的。 应用于梯度阵列的这两个和其他滤镜可以作为功能套件的一部分，用于特征空间分析。

公开(公告)号：US5859686A

公开(公告)日：1999-01-12

申请号：US858841

申请日：1997-05-19

Applicant: Omar Aboutalib ,  Richard Roy Ramroth

Inventor： Omar Aboutalib ,  Richard Roy Ramroth

IPC: A61B3/113 ,  A61B3/14 ,  A61B3/00 ,  A61B3/10

CPC classification number: A61B3/113

Abstract: A system and method for finding and tracking the location of a subject's eyes. This system and method employs an imaging apparatus which produces digital image frames including the face and eyes of a subject. An eye position finding and tracking apparatus is also included to average the intensity representing pixel values within respective M.sub.x by M.sub.y pixel blocks of a digitized image frame to create elements of output matrices. Then, elements of the output matrices are compared to various threshold values. These threshold values are chosen so as to identify which matrix elements correspond to a M.sub.x by M.sub.y pixel block potentially representing an image of the subject's pupil and at least the portion of the subject's iris (i.e. a potential eye location). Once the flagged matrix elements have been determined, any M.sub.x by M.sub.y pixel block corresponding to a flagged matrix element can be designated as an actual subject eye location. However, it is preferred that further steps be taken to confirm the actual eye location, as well as to track the changing position of the subject's eye. Accordingly, the preferred system and method include a provision for tracking the location of a center of each M.sub.x by M.sub.y pixel block representing a potential eye location in each subsequent image frame produced from the imaging apparatus. Further, a provision is included to detect a blink at the location. Such a blink confirms the potential eye location is an actual eye location.

Abstract translation: 用于查找和跟踪受试者眼睛位置的系统和方法。 该系统和方法采用产生包括被摄体的脸部和眼睛的数字图像帧的成像装置。 还包括眼睛位置查找和跟踪装置以平均表示数字化图像帧的My像素块的相应Mx内的像素值的强度，以创建输出矩阵的元素。 然后，将输出矩阵的元素与各种阈值进行比较。 选择这些阈值以便识别哪些矩阵元素对应于潜在地表示被摄体的瞳孔的图像和至少对象的虹膜部分（即，潜在的眼睛位置）的我的像素块的Mx。 一旦已经确定了标记的矩阵元素，则可以将与标记的矩阵元素相对应的任何M×由我的像素块指定为实际的被摄体眼睛位置。 然而，优选采取进一步的步骤来确认实际的眼睛位置，以及跟踪受试者眼睛的变化位置。 因此，优选的系统和方法包括用于跟踪每个Mx的中心的位置的设置，由我的像素块表示从成像设备产生的每个后续图像帧中的潜在眼睛位置。 此外，包括在该位置检测眨眼的设置。 这样的眨眼确认潜在的眼睛位置是实际的眼睛位置。

公开(公告)号：US07627170B2

公开(公告)日：2009-12-01

申请号：US11247422

申请日：2005-10-11

Applicant: Omar Aboutalib ,  Richard R. Ramroth ,  Bea Thai

Inventor： Omar Aboutalib ,  Richard R. Ramroth ,  Bea Thai

IPC: G06K9/00

CPC classification number: G06K9/00201 ,  G06K2209/29

Abstract: The invention is a process for identifying an unknown object. In detail, the process includes the steps of: 1) compiling data on selected features on a plurality of segments of a plurality of known objects; 2) illuminating the unknown object with a laser radar system; 3) dividing the unknown object into a plurality segments corresponding to each of the segments of the known objects; 4) sequentially measuring selected features of each of the plurality of segments of the unknown object; and 5) comparing the sequentially measuring selected features of each of the plurality of segments of the unknown object to the selected features on the plurality of segments of the plurality of known objects.

Abstract translation: 本发明是识别未知物体的过程。 具体而言，该过程包括以下步骤：1）在多个已知对象的多个段上编译所选特征上的数据; 2）用激光雷达系统照亮未知物体; 3）将未知对象划分成对应于已知对象的每个段的多个段; 4）顺序地测量未知物体的多个片段中的每一个的所选特征; 以及5）将所述未知对象的所述多个片段中的每一个的所选特征顺序地测量到所述多个已知对象的所述多个片段上的所选特征。

公开(公告)号：US20080162389A1

公开(公告)日：2008-07-03

申请号：US11297679

申请日：2005-12-08

Applicant: Omar Aboutalib

Inventor： Omar Aboutalib

IPC: G06N3/02

CPC classification number: G06K9/3241 ,  G06K9/6288

Abstract: A method comprises the steps of: producing one or more signals representative of a feature of a target or area of interest, statistically processing the signals to produce one or more first hypotheses of the target or area of interest, comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, and comparing the second hypotheses to one or more models in a model library to produce a target decision. An apparatus that performs the method is also provided.

Abstract translation: 一种方法包括以下步骤：产生表示目标或感兴趣区域的特征的一个或多个信号，统计处理信号以产生目标或感兴趣区域的一个或多个第一假设，将第一假设与一个或多个 模板库中的更多模板以产生一个或多个第二假设，以及将第二假设与模型库中的一个或多个模型进行比较以产生目标决策。 还提供了执行该方法的装置。

公开(公告)号：US20070136224A1

公开(公告)日：2007-06-14

申请号：US11297145

申请日：2005-12-08

Applicant: Omar Aboutalib

Inventor： Omar Aboutalib

IPC: G06N7/02

CPC classification number: G06K9/6288 ,  G06N7/005 ,  G06N99/005

Abstract: A method of data fusion comprises the steps of: receiving a plurality of decisions and associated confidences; determining probabilities of a set of the decisions; if the probabilities are not zero, then choosing the decision having a highest likelihood from the plurality of decisions; and if the probabilities are zero, then selecting an algorithm to be used for choosing one of the decisions.

Abstract translation: 一种数据融合的方法包括以下步骤：接收多个决定和相关信号; 确定一组决定的概率; 如果概率不为零，则从多个决定中选择具有最高可能性的决策; 并且如果概率为零，则选择要用于选择其中一个决策的算法。

公开(公告)号：US07116823B2

公开(公告)日：2006-10-03

申请号：US10193413

申请日：2002-07-10

Applicant: Walter D. Clark ,  Omar Aboutalib ,  Liya Su

Inventor： Walter D. Clark ,  Omar Aboutalib ,  Liya Su

IPC: G06K9/48

CPC classification number: G06K9/4609 ,  G06T7/12 ,  G06T2207/10016 ,  G06T2207/10048 ,  G06T2207/20132

Abstract: The present invention includes a method for analyzing an image wherein elements defining a path within a two-dimensional image are received from a prescreener. A Sobel operator may be applied to the region around each of the elements of the chain to obtain a corresponding array of gradient directions. An angle correction may be applied to any of the gradient directions that goes beyond the highest value (in radian measure; the Pi −Pi transition), to obtain an array of gradient directions free of any artificial jumps in value. The gradient direction array (Sobel chaincode) can have its bandwidth taken to determine a single number of straightness so as to identify extremely straight edges, (manmade objects) from less straight edges (natural objects). A similar process can be used to analyze contours for straight sections, which are also parallel. These two and other filters applied to the gradient array can be part of a feature suite, for feature space analysis.

Abstract translation: 本发明包括一种用于分析图像的方法，其中从预分频器接收定义二维图像内的路径的元素。 可以将Sobel算子应用于链的每个元素周围的区域以获得相应的梯度方向阵列。 角度校正可以应用于任何超过最高值的梯度方向（以弧度测量; Pi -Pi转换），以获得没有任何人造跳跃值的梯度方向阵列。 梯度方向阵列（Sobel链码）可以采取其带宽来确定单个数量的直线度，以便从较不直边（自然对象）识别非常直的边缘（人造物体）。 可以使用类似的过程来分析直线段的轮廓，这也是平行的。 应用于梯度阵列的这两个和其他滤镜可以作为功能套件的一部分，用于特征空间分析。