公开(公告)号：US09332191B2

公开(公告)日：2016-05-03

申请号：US12421296

申请日：2009-04-09

申请人： Scott McCloskey ,  Jan Jelinek ,  Kwong Wing Au

发明人： Scott McCloskey ,  Jan Jelinek ,  Kwong Wing Au

IPC分类号： H04N5/235 ,  H04N5/232

CPC分类号： H04N5/2353 ,  H04N5/23229

摘要： A method, system and computer-usable medium for determining shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that has several desired properties. These properties can be expressed in the context of a fitness function: given a fluttering pattern and the target subject's velocity, it produces the equivalent Modulation Transfer Function (MTF), measures three attributes, and produces a fitness score. These attributes are the minimum contrast, the variance in contrast across spatial frequencies, and the mean contrast. The objective of the disclosed approach is to determine the fluttering pattern that maximizes the fitness score.

摘要翻译： 一种用于确定快门飘飘序列的方法，系统和计算机可用介质。 所公开的方法是基于快门颤动技术的使用，这意味着可以以对编码关于移动被摄体的所有信息的方式来获取图像。 所公开的方法涉及确定在所有频率处对信息进行最佳编码的快门飘动模式。 所公开的方法涉及用于找到具有若干期望特性的快门飘动图案的优化方法。 这些属性可以在适应度函数的上下文中表达：给出一个飘动的模式和目标对象的速度，它产生等效的调制传递函数（MTF），测量三个属性，并产生适合度。 这些属性是最小对比度，空间频率对比度的差异以及平均对比度。 所公开的方法的目的是确定使适应度得分最大化的飘动模式。

公开(公告)号：US08873810B2

公开(公告)日：2014-10-28

申请号：US12421263

申请日：2009-04-09

申请人： Scott McCloskey ,  Jan Jelinek ,  Kwong Wing Au

发明人： Scott McCloskey ,  Jan Jelinek ,  Kwong Wing Au

IPC分类号： G06K9/40 ,  G06K9/00

CPC分类号： G06K9/00604

摘要： A feature-based method and system for blur estimation in eye images. A blur estimation can be performed from eye/iris images in order to produce de-blurred images that are more useful for biometric identification. The eye/iris region, in particular the edge between the iris and pupil regions, can be utilized. The pattern of shutter motion or a characterization of the optical system can be utilized. By capturing a burst of images, or a video stream, one can use eye position in the images before and after a given capture to predict the motion of the eye within that capture. Because the before/after image frames need only contain the information necessary to locate the eye, and need not contain sufficient information to perform matching, the capture of these images can be accomplished with a wider range of settings.

摘要翻译： 一种基于特征的眼图模糊估计方法和系统。 可以从眼睛/虹膜图像执行模糊估计，以产生对生物识别更有用的去模糊图像。 可以利用眼/虹膜区域，特别是虹膜和瞳孔区域之间的边缘。 可以利用快门运动的模式或光学系统的表征。 通过捕获图像的突发或视频流，可以在给定捕获之前和之后的图像中使用眼睛位置来预测该捕获内的眼睛的运动。 因为前/后图像帧仅需要包含定位眼睛所需的信息，并且不需要包含足够的信息来执行匹配，所以可以利用较宽的设置范围来捕获这些图像。

公开(公告)号：US08755997B2

公开(公告)日：2014-06-17

申请号：US12182774

申请日：2008-07-30

申请人： Kwong Wing Au ,  Jon Schewe

发明人： Kwong Wing Au ,  Jon Schewe

IPC分类号： G06K9/00

CPC分类号： G06K9/00791 ,  G01S17/023 ,  G01S17/936

摘要： A method and system provide road and obstacle detection in navigating an autonomous vehicle. The method comprises scanning a distance ahead of the autonomous vehicle to obtain a current range scan, and obtaining navigation data, including dynamics, position, and orientation measurements of the autonomous vehicle. The current range scan is transformed to world coordinates with respect to a reference location based on the navigation data, and the transformed current range scan is input into a distance-based accumulator. The transformed current range scan is added to a variable size buffer when the autonomous vehicle is deemed to be non-stationary. A ground plane is estimated from the transformed current range scan and prior range scans stored in the variable size buffer. The estimated ground plane is represented as a constrained quadratic surface, which is classified into one or more of a traversable area, a non-traversable area, or an obstacle area for navigation of the autonomous vehicle.

摘要翻译： 一种方法和系统在驾驶自主车辆时提供道路和障碍物检测。 该方法包括扫描自主车辆前方的距离以获得电流范围扫描，并且获得包括自主车辆的动力学，位置和姿态测量的导航数据。 基于导航数据，将当前范围扫描转换为相对于参考位置的世界坐标，并将变换的电流范围扫描输入到基于距离的累加器中。 当自动车辆被认为是非静止时，变换的电流范围扫描被添加到可变大小的缓冲器。 从存储在可变大小缓冲器中的变换的电流范围扫描和先前范​​围扫描估计接地层。 估计的接地面被表示为约束二次曲面，其被分类为自动车辆的导航的可行驶区域，不可行驶区域或障碍物区域中的一个或多个。

公开(公告)号：US20130257622A1

公开(公告)日：2013-10-03

申请号：US13436279

申请日：2012-03-30

申请人： Pedro Davalos ,  Kwong Wing Au ,  Saad J. Bedros ,  Sharath Venkatesha

发明人： Pedro Davalos ,  Kwong Wing Au ,  Saad J. Bedros ,  Sharath Venkatesha

IPC分类号： G06F7/04 ,  G08B21/02 ,  G06F15/00

CPC分类号： G02C11/10 ,  A61F9/029 ,  F16P1/00 ,  F16P3/00 ,  G01J1/0238

摘要： Systems, methods, and computer-readable and executable instructions are provided for detecting a use of personal protective equipment (PPE). Detecting a use of PPE can include collecting contact data from a number of touch sensitive sensors attached to the PPE. Furthermore, detecting a use of PPE can include determining if the PPE is in proper use based on the collected contact data.

摘要翻译： 提供了用于检测个人防护装备（PPE）的使用的系统，方法和计算机可读和可执行指令。 检测PPE的使用可以包括从连接到PPE的多个触敏传感器收集联系人数据。 此外，检测PPE的使用可以包括基于收集的联系人数据确定PPE是否正确使用。

公开(公告)号：US08487979B2

公开(公告)日：2013-07-16

申请号：US12324709

申请日：2008-11-26

申请人： Darryl Busch ,  Kwong Wing Au

发明人： Darryl Busch ,  Kwong Wing Au

IPC分类号： H04N7/00

CPC分类号： G01J3/45 ,  G06T7/11 ,  G06T7/168 ,  G06T7/194

摘要： The invention is a detection system that provides for background removal from a field of view (FOV) of spectra. A panoramic field of regard may be partitioned into a large number of FOV's. An FOV may include spectra including that of a target substance. Such detection may require removing the spectra other than that of the target. This may amount to removal of the background with an estimated background developed from spectra of one or more FOV's which may be similar to the background of the FOV with the target. An estimation of the background may be a sum of a number of FOV spectra where each spectrum is assigned a weight, the total amount of the weights being one.

摘要翻译： 本发明是提供从光谱视场（FOV）的背景去除的检测系统。 全景视野可分为大量FOV。 FOV可以包括包括目标物质的光谱。 这种检测可能需要除去目标以外的光谱。 这可能相当于从一个或多个FOV的光谱开发的估计背景的去除，其可以类似于具有目标的FOV的背景。 背景的估计可以是FOV光谱的数量的总和，其中每个光谱被分配一个权重，权重的总量是1。

公开(公告)号：US08364334B2

公开(公告)日：2013-01-29

申请号：US12261683

申请日：2008-10-30

申请人： Kwong Wing Au ,  Alan B. Touchberry ,  Brian VanVoorst ,  Jon Schewe

发明人： Kwong Wing Au ,  Alan B. Touchberry ,  Brian VanVoorst ,  Jon Schewe

IPC分类号： G01C22/00

CPC分类号： G01C21/165 ,  G05D1/024 ,  G05D1/027 ,  G05D1/0278 ,  G05D2201/0213

摘要： A system and method for providing information for autonomous vehicle navigation are disclosed. The system comprises at least one laser scanner configured to perform one or more range and intensity scans of an area around the autonomous vehicle, and a geo-location unit comprising one or more global positioning system sensors and inertial navigation system sensors. The system also includes at least one processor in operative communication with the laser scanner and the geo-location unit. The processor is configured to execute one or more program modules comprising a ground plane-based processing module configured to receive range scan data transformed into world coordinates, and output ground plane-based classification data; a range-based processing module configured to receive data from a single range scan, and output range-based classification data; an intensity-based processing module configured to receive intensity scan data, and output intensity-based classification data; and a classification fusion module configured to receive the classification data from each of the processing modules, and output range bin classification data.

摘要翻译： 公开了一种用于提供自主车辆导航信息的系统和方法。 该系统包括至少一个激光扫描器，其被配置为执行自主车辆周围区域的一个或多个范围和强度扫描，以及包括一个或多个全球定位系统传感器和惯性导航系统传感器的地理位置单元。 该系统还包括与激光扫描仪和地理位置单元操作性通信的至少一个处理器。 所述处理器被配置为执行一个或多个程序模块，所述程序模块包括被配置为接收被变换为世界坐标的范围扫描数据并且输出基于接地平面的分类数据的基于接地平面的处理模块; 配置为从单一范围扫描接收数据的基于范围的处理模块，以及输出基于范围的分类数据; 基于强度的处理模块，被配置为接收强度扫描数据，以及输出基于强度的分类数据; 以及分类融合模块，被配置为从每个处理模块接收分类数据，以及输出范围仓分类数据。

公开(公告)号：US20130013260A1

公开(公告)日：2013-01-10

申请号：US13177769

申请日：2011-07-07

申请人： Kwong Wing Au ,  Brian C. Krafthefer ,  Eric Eastwold

发明人： Kwong Wing Au ,  Brian C. Krafthefer ,  Eric Eastwold

IPC分类号： G06F15/00

CPC分类号： G01T1/15

摘要： A system includes a count detector, a communication medium; and a processor coupled to the count detector. The processor continuously receives a plurality of pulses from the count detector. A pulse indicates a detection of a radiation unit emitted from a source material or a background. The processor determines a first period of time based on an expected range of speed of a carrier of the source material, and integrates the plurality of pulses over the first period of time, thereby yielding an integrated count associated with a time at a midpoint of the first period of time. The processor creates a continuous time series of count profiles from a plurality of integrated counts that are computed using a plurality of windows within the first period of time, and shifts each window over a second period of time. The second period of time is shorter than the first period of time. The processor estimates a background count from a history of the count profiles, computes an adaptive threshold based on the estimated background count, and detects the source material when consecutives of the integrated counts exceed the adaptive threshold.

摘要翻译： 系统包括计数检测器，通信介质; 以及耦合到计数检测器的处理器。 处理器从计数检测器连续接收多个脉冲。 脉冲表示从源材料或背景发射的辐射单元的检测。 处理器基于源材料的载波的预期速度范围来确定第一时间段，并且在第一时间段内对多个脉冲进行积分，由此产生与在中间点处的时间相关联的积分计数 第一段时间。 处理器从在第一时间段内使用多个窗口计算的多个积分计数器创建连续的时间序列计数轮廓，并且在第二时间段内移动每个窗口。 第二个时间段比第一个时间段短。 处理器根据计数曲线的历史估计背景计数，基于估计的背景计数来计算自适应阈值，并且当积分计数的连续执行超过自适应阈值时检测源材料。

公开(公告)号：US20120162448A1

公开(公告)日：2012-06-28

申请号：US12771344

申请日：2010-04-30

申请人： Kwong Wing Au ,  Scott McCloskey

发明人： Kwong Wing Au ,  Scott McCloskey

IPC分类号： H04N5/217

CPC分类号： G06K9/00604 ,  G06T7/0002 ,  G06T2207/30168 ,  H04N5/23254 ,  H04N5/23267

摘要： A system for detecting motion blur may include a process in which one or more digital images taken by a camera having a shutter are obtained, wherein the digital image depicts objects in a physical world. Further, the system may estimate the motion blur in the digital image using a ratio of one or more values obtained from the projection of a 2D spectrum of the image and a Fourier transform of a sequence of the shutter used in obtaining the image.

摘要翻译： 用于检测运动模糊的系统可以包括其中获得由具有快门的相机拍摄的一个或多个数字图像的处理，其中数字图像描绘物理世界中的对象。 此外，系统可以使用从图像的2D光谱的投影获得的一个或多个值与在获得图像中使用的快门的序列的傅立叶变换的比率来估计数字图像中的运动模糊。

公开(公告)号：US20100220898A1

公开(公告)日：2010-09-02

申请号：US12421263

申请日：2009-04-09

申请人： Scott McCloskey ,  Jan Jelinek ,  Kwong Wing Au

发明人： Scott McCloskey ,  Jan Jelinek ,  Kwong Wing Au

IPC分类号： G06K9/40

CPC分类号： G06K9/00604

摘要： A feature-based method and system for blur estimation in eye images. A blur estimation can be performed from eye/iris images in order to produce de-blurred images that are more useful for biometric identification. The eye/iris region, in particular the edge between the iris and pupil regions, can be utilized. The pattern of shutter motion or a characterization of the optical system can be utilized. By capturing a burst of images, or a video stream, one can use eye position in the images before and after a given capture to predict the motion of the eye within that capture. Because the before/after image frames need only contain the information necessary to locate the eye, and need not contain sufficient information to perform matching, the capture of these images can be accomplished with a wider range of settings.

摘要翻译： 一种基于特征的眼图模糊估计方法和系统。 可以从眼睛/虹膜图像执行模糊估计，以产生对生物识别更有用的去模糊图像。 可以利用眼/虹膜区域，特别是虹膜和瞳孔区域之间的边缘。 可以利用快门运动的模式或光学系统的表征。 通过捕获图像的突发或视频流，可以在给定捕获之前和之后的图像中使用眼睛位置来预测该捕获内的眼睛的运动。 因为前/后图像帧仅需要包含定位眼睛所需的信息，并且不需要包含足够的信息来执行匹配，所以可以通过更广泛的设置实现这些图像的捕获。

公开(公告)号：US20080233523A1

公开(公告)日：2008-09-25

申请号：US11689824

申请日：2007-03-22

申请人： Annemarie Diepenbroek ,  Joel T. Langill ,  Isaac Cohen ,  Kwong Wing Au

发明人： Annemarie Diepenbroek ,  Joel T. Langill ,  Isaac Cohen ,  Kwong Wing Au

IPC分类号： F23N5/26

CPC分类号： F23N5/082 ,  F23G5/50 ,  F23G7/085 ,  F23N2029/20 ,  F23N2041/12

摘要： A video analytics system for characterization of a flare. A video of a flare may be taken for obtaining information so as to appropriately control the flare in an interest of reducing emissions not necessarily favorable to the environment. The system may incorporate a control scenario involving one or more parameters of a flare which are to be controlled in view of a flare characterization from an algorithmic analysis of the video.

摘要翻译： 用于表征耀斑的视频分析系统。 为了获得信息，可以采用闪光灯的视频，以便有意地适当地控制闪光灯，以减少对环境不一定有利的排放。 该系统可以包括涉及一个或多个闪光参数的控制场景，该参数将根据来自视频的算法分析的耀斑表征而被控制。