公开(公告)号：US5155541A

公开(公告)日：1992-10-13

申请号：US736375

申请日：1991-07-26

Applicant: Robert P. Loce ,  Richard F. Lehman

Inventor： Robert P. Loce ,  Richard F. Lehman

IPC: G03G15/01

CPC classification number: G03G15/0157 ,  G03G15/0163 ,  G03G2215/0495

Abstract: Method and apparatus for printing toner images in black and at least two highlighting colors in a single pass of the imaging surface through the processing areas of the printing apparatus. Imaging and development techniques of color photography and tri-level xerography are combined to produce images with black and two colors wherein the two highlighting colors are developed with only one color toner. A single imaging step forms a four level charge pattern on a charge retentive surface followed by development of two of the image levels using tri-level imaging techniques. Uniform exposure of the imaging surface, similar to that used to color photography techniques precedes development of the last image. The uniform exposure modifies the last developed image level and the background charge level allowing development of the last image with a single toner.

Abstract translation: 通过打印设备的处理区域在成像表面的单次通过中打印黑色调色剂图像和至少两个突出显示颜色的方法和设备。 彩色摄影和三级静电复印的成像和开发技术被组合以产生具有黑色和两种颜色的图像，其中两种高亮颜色仅用一种彩色调色剂显影。 单个成像步骤在电荷保持性表面上形成四级电荷图案，随后使用三级成像技术显影两个图像水平。 成像表面的均匀曝光类似于彩色摄影技术的曝光先于最后一幅图像的开发。 均匀曝光修改最后显影的图像水平和背景电荷水平，从而允许使用单个调色剂开发最后一张图像。

公开(公告)号：US4868587A

公开(公告)日：1989-09-19

申请号：US197051

申请日：1988-05-20

Applicant: Robert P. Loce ,  Susan E. Feth ,  William L. Lama ,  Richard F. Lehman

Inventor： Robert P. Loce ,  Susan E. Feth ,  William L. Lama ,  Richard F. Lehman

IPC: B41J2/52 ,  B41J2/44 ,  G06T5/00 ,  H04N1/40 ,  H04N1/405

CPC classification number: H04N1/40087 ,  Y10S347/90

Abstract: Trinary and quaternary halftone reproduction systems for electronic printers in which discrete combinations of either three or four reflectance level pixels having optimum intermediate levels form halftone cells to provide an increased number of gray steps for processing image signals, yielding an optimum Tone Reproduction Curve.

Abstract translation: 用于电子打印机的三色和四色半色调再现系统，其中具有最佳中间级别的三个或四个反射率级像素的离散组合形成半色调单元，以提供用于处理图像信号的增加数量的灰阶，产生最佳色调再现曲线。

公开(公告)号：US09424747B2

公开(公告)日：2016-08-23

申请号：US13453245

申请日：2012-04-23

Applicant: Edgar A. Bernal ,  Robert P. Loce ,  Orhan Bulan

Inventor： Edgar A. Bernal ,  Robert P. Loce ,  Orhan Bulan

IPC: G08G1/01 ,  G06K9/00 ,  H04N19/513 ,  H04N19/61

CPC classification number: G08G1/0133 ,  G06K9/00785 ,  H04N19/107 ,  H04N19/139 ,  H04N19/172 ,  H04N19/513 ,  H04N19/61

Abstract: This disclosure provides method and systems of recording a predetermined event associated with a moving object, the predetermined event captured with an image capturing unit and one or more of the associated frames compressed, producing one or more motion vectors. According to one exemplary embodiment, vehicle counting is performed based on motion vectors produced during the data compression process, either inline or offline.

Abstract translation: 本公开提供了记录与移动对象相关联的预定事件的方法和系统，用图像捕获单元捕获的预定事件和压缩的一个或多个相关联的帧，产生一个或多个运动矢量。 根据一个示例性实施例，基于在数据压缩处理期间产生的在线或离线执行车辆计数。

公开(公告)号：US09129524B2

公开(公告)日：2015-09-08

申请号：US13433809

申请日：2012-03-29

Applicant: Diana L. Delibaltov ,  Wencheng Wu ,  Robert P. Loce ,  Edgar Bernal

Inventor： Diana L. Delibaltov ,  Wencheng Wu ,  Robert P. Loce ,  Edgar Bernal

IPC: G06K9/00 ,  G08G1/04 ,  G08G1/065 ,  G06K9/62 ,  H04N7/18 ,  G06K9/46

CPC classification number: G08G1/04 ,  G06K9/00785 ,  G06K9/00812 ,  G06K9/6269 ,  G06K2009/4666 ,  G08G1/065

Abstract: Described herein is a method of determining parking lot occupancy from digital images, including a set-up procedure that includes receiving a layout of a parking lot and estimating parking space volume for at least one viewing angle and the probability that an observed pixel belongs to the parking space volume. The method further includes acquiring one or more image frames of the parking lot from at least one digital camera; performing pixel classification using a vehicle detector on the acquired image frames to determine a likelihood that a pixel belongs to a vehicle; computing a probability that a parking space is occupied by a vehicle based on a spatially varying membership probability density function and a likelihood of vehicle pixels within a region of interest; and determining parking lot vacancy via a comparison of the computed probability that a parking space is occupied by a vehicle to a pre-determined threshold.

Abstract translation: 这里描述了一种从数字图像中确定停车场占用的方法，包括建立过程，其包括接收停车场的布局并估计至少一个视角的停车空间体积，以及观察像素属于 停车位容积。 该方法还包括从至少一个数字照相机获取停车场的一个或多个图像帧; 使用车辆检测器对所获取的图像帧执行像素分类，以确定像素属于车辆的可能性; 基于空间变化的隶属概率密度函数和感兴趣区域内的车辆像素的可能性来计算车辆占据的概率; 以及通过将所述计算出的停车位被车辆占据的概率与预定阈值进行比较来确定停车场空置。

公开(公告)号：US08934145B2

公开(公告)日：2015-01-13

申请号：US12420941

申请日：2009-04-09

Applicant: Robert P. Loce ,  Edgar Bernal

Inventor： Robert P. Loce ,  Edgar Bernal

IPC: H04N1/409 ,  G06K9/44 ,  G06K9/40 ,  G03G15/08

CPC classification number: G06K9/44 ,  G06K2209/01

Abstract: Systems and methods of controlling the width of one or more image objects in a digital image are provided which determine if one or more image objects include a line or an edge. If the image includes a line, it is processed using a line width control algorithm to modify its width. If the image includes an edge, it is processed using an edge growth control module which processes it differently than a line to modify the edge in the image object.

Abstract translation: 提供了控制数字图像中的一个或多个图像对象的宽度的系统和方法，其确定一个或多个图像对象是否包括线或边。 如果图像包含一行，则使用线宽控制算法对其进行处理以修改其宽度。 如果图像包含边缘，则使用边缘增长控制模块对其进行处理，该边缘增长控制模块不同于对图像对象边缘进行修改的线进行处理。

公开(公告)号：US08767254B2

公开(公告)日：2014-07-01

申请号：US12775019

申请日：2010-05-06

Applicant: Robert P. Loce ,  Edgar A. Bernal ,  Edul N. Dalal

Inventor： Robert P. Loce ,  Edgar A. Bernal ,  Edul N. Dalal

IPC: G06F15/00

CPC classification number: G06T11/60

Abstract: Images are prepared for blending with a reflection. Angles of incidence and angles or reflection lead to reflections of a viewer appearing to be different than actual size. Accordingly, image preparation can include scaling images of objects to be blended with a reflection to an appropriate size. For a flat specular surface the size is one half the size the object would be if the object were sized to be associated with the feature that is reflected. A viewer will focus on the reflection of the viewer at an object plane. An image associated with the specular surface will be blurred. Accordingly, the preparation can include compensating for the blurring. Preparation can also include reducing an area coverage of the image of the object to no more than about fifty percent of the region of the refection to provide space for the reflection.

Abstract translation: 图像准备与反射混合。 入射角和角度或反射导致观察者的反射似乎与实际尺寸不同。 因此，图像准备可以包括将要与要反射的混合的对象的图像缩放到适当的大小。 对于平坦的镜面，如果对象的大小与要反映的要素相关联，则大小是对象大小的一半。 观众将集中在观察者在物体平面上的反射。 与镜面相关联的图像将会模糊。 因此，该制剂可以包括补偿模糊。 制备还可以包括将对象的图像的面积覆盖范围减小到不超过反射区域的大约百分之五十，以提供反射的空间。

公开(公告)号：US08737690B2

公开(公告)日：2014-05-27

申请号：US13461221

申请日：2012-05-01

Applicant: Orhan Bulan ,  Robert P. Loce ,  Edgar A. Bernal ,  Yao Rong Wang ,  Graham S. Pennington

Inventor： Orhan Bulan ,  Robert P. Loce ,  Edgar A. Bernal ,  Yao Rong Wang ,  Graham S. Pennington

IPC: G06K9/00 ,  G08G1/16

CPC classification number: G06K9/00785

Abstract: A method and a system for determining a parking angle violation includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method further includes determining a first line in a current frame where the line represents a nominal orientation of the parking area. The method includes detecting a presence of a vehicle in the parking area. The method includes determining a second line in the frame where the line represents the orientation of the detected vehicle. The method further includes computing an angle between the first and second lines. The method includes determining whether the detected vehicle is violating a parking regulation based on the computed angle.

Abstract translation: 用于确定停车角违规的方法和系统包括从监视停车区域的图像拍摄装置获取的帧序列中接收视频数据。 该方法还包括确定当前帧中的第一行，其中该行表示停车区域的标称取向。 该方法包括在停车区域中检测车辆的存在。 该方法包括确定帧中的第二行，其中该线表示检测到的车辆的取向。 该方法还包括计算第一和第二线之间的角度。 该方法包括基于计算出的角度来确定检测到的车辆是否违反停车调节。

公开(公告)号：US20140071286A1

公开(公告)日：2014-03-13

申请号：US13613174

申请日：2012-09-13

Applicant: Edgar A. Bernal ,  Orhan Bulan ,  Robert P. Loce

Inventor： Edgar A. Bernal ,  Orhan Bulan ,  Robert P. Loce

IPC: G06K9/62 ,  H04N7/18

CPC classification number: G01S3/7864 ,  G06K9/00771 ,  G06K9/00785 ,  G06K9/6218 ,  G06T7/20 ,  G06T7/215 ,  G06T7/223 ,  G06T7/246 ,  G06T7/269 ,  G06T2207/30236 ,  G08G1/0175 ,  G08G1/04 ,  G08G1/096716 ,  G08G1/096741 ,  G08G1/096783 ,  H04N19/139 ,  H04N19/513

Abstract: A method for enforcing traffic signal compliance includes acquiring a series of temporal related image frames including a target area. Each image frame includes pixel data representative of the target area. The method includes generating one or more motion vectors between two or more of the image frames. The motion vectors are the type produced by compressing the pixel data associated with the two or more image frames. The method includes associating a cluster of motion vectors with a vehicle. The method further includes tracking a position of the vehicle across the two or more image frames. Using the tracking results, the method includes determining whether the vehicle stops in the target area. For the vehicle being determined as not stopping, the method includes signaling an occurrence of noncompliance.

Abstract translation: 用于执行交通信号符合性的方法包括获取包括目标区域的一系列时间相关图像帧。 每个图像帧包括表示目标区域的像素数据。 该方法包括在两个或多个图像帧之间生成一个或多个运动矢量。 运动矢量是通过压缩与两个或更多个图像帧相关联的像素数据而产生的类型。 该方法包括将运动矢量群与车辆相关联。 该方法还包括跟踪车辆在两个或多个图像帧上的位置。 使用跟踪结果，该方法包括确定车辆是否停在目标区域中。 对于被确定为不停止的车辆，该方法包括发信号通知违规的发生。

公开(公告)号：US20140063236A1

公开(公告)日：2014-03-06

申请号：US13598098

申请日：2012-08-29

Applicant: Matthew Adam Shreve ,  Michael C. Mongeon ,  Robert P. Loce ,  Edgar A. Bernal ,  Wencheng Wu

Inventor： Matthew Adam Shreve ,  Michael C. Mongeon ,  Robert P. Loce ,  Edgar A. Bernal ,  Wencheng Wu

IPC: G06K9/48 ,  G06K9/62 ,  H04N7/18

CPC classification number: G06K9/00302 ,  G06K9/00228 ,  G06K9/00315 ,  G06K9/00771 ,  G06K2009/4666

Abstract: This disclosure provides a method and system for automatically recognizing facial expressions at variable resolutions of video. According to one exemplary method, facial expressions are detected, extracted and classified from a video sequence based on an automatic localization of the periocular region associated with a detected and extracted face.

Abstract translation: 本公开提供了一种用于在视频的可变分辨率下自动识别面部表情的方法和系统。 根据一个示例性方法，基于与检测和提取的面部相关联的眼周区域的自动定位，从视频序列检测，提取和分类面部表情。

公开(公告)号：US08666117B2

公开(公告)日：2014-03-04

申请号：US13441253

申请日：2012-04-06

Applicant: Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

Inventor： Orhan Bulan ,  Yao Rong Wang ,  Robert P. Loce ,  Edgar A. Bernal ,  Zhigang Fan ,  Graham S. Pennington ,  David P. Cummins

IPC: G06K9/00 ,  G08G1/16

CPC classification number: G06K9/00771 ,  G06K9/3233

Abstract: A method for determining a parking violation includes receiving video data as a sequence of frames provided by a camera. The method includes defining a location of an exclusion zone in the video data. The method includes detecting a vehicle located in the defined exclusion zone. The detecting includes determining a background in an initial frame of the video data and determining a background in a select frame by applying a predetermined updating process. The detecting includes subtracting the background of the select frame from the initial frame to obtain an image difference. The detecting includes classifying the pixels in the image difference as foreground or background pixels and classifying the pixels in the foreground image as vehicle or non-vehicle pixels. The method includes determining a duration that the detected vehicle is in the exclusion zone based on a number of the sequence of frames including the detected vehicle.

Abstract translation: 用于确定停车违规的方法包括接收视频数据作为由相机提供的帧序列。 该方法包括在视频数据中定义排除区域的位置。 该方法包括检测位于限定的禁区中的车辆。 检测包括确定视频数据的初始帧中的背景，并通过应用预定的更新过程来确定选择帧中的背景。 检测包括从初始帧中减去选择帧的背景以获得图像差异。 检测包括将图像差异中的像素分类为前景或背景像素，并将前景图像中的像素分类为车辆或非车辆像素。 该方法包括基于包括检测到的车辆的帧序列的数量来确定检测到的车辆在排除区域中的持续时间。