公开(公告)号：US07515736B2

公开(公告)日：2009-04-07

申请号：US11056926

申请日：2005-02-11

Applicant: James E. Retterath ,  Robert A. Laumeyer

Inventor： James E. Retterath ,  Robert A. Laumeyer

IPC: G06K9/00

CPC classification number: G01N21/251 ,  G01N21/55 ,  G01N21/84 ,  G01N2201/06113 ,  G01N2201/102 ,  G01N2201/12 ,  G01S17/06 ,  G06K9/00791 ,  G06K9/00818 ,  G06K9/2036 ,  G06K9/4652 ,  G06K9/4661 ,  G08G1/096758 ,  G08G1/096783

Abstract: A system for classifying different types of sheeting materials of road signs depicted in a videostream compares estimated retroreflectivity values against known minimum retroreflectivity values for each of a plurality of colors. Once a road sign has been identified in the videostream, the frames associated with that road sign are analyzed to determine each of a plurality of colors present on the road sign. An estimated retroreflectivity for each of the plurality of colors present on the road sign is then determined. By comparing the estimated retroreflectivity for each of the plurality of colors against known minimum retroreflectivity values for the corresponding color for different types of sheeting materials, an accurate determination of the classification of the sheeting material of the road sign is established. Preferably, certain conditions of gross failure of the sheeting material are filtered out before classification of the sheeting material is determined.

公开(公告)号：US20070055441A1

公开(公告)日：2007-03-08

申请号：US11464360

申请日：2006-08-14

Applicant: Jamie Retterath ,  Robert Laumeyer

Inventor： Jamie Retterath ,  Robert Laumeyer

IPC: G01C21/00

CPC classification number: G01C21/3647

Abstract: A vehicle navigation system uses prerecorded intersection images to more quickly and efficiently acquaint the driver with approaching intersections and other points of interest as part of a navigation system. The pre-recorded images are recorded, selected and processed with header information that associates the selected landmark images of approaching intersections and other points of interest to spatial nodes based on runs defined by routing information in the navigation system. The runs defined by the routing information correlate to a path or road segment to be traveled with the spatial nodes defining a transition point from one run to another, such as a roadway intersection where a turn is required to follow the routing information. Preferably, a multiplicity of recorded images are analyzed from a road segment to select a set of images that correspond to a plurality of distances from an approaching intersection, for example, where the selected images include a view of relevant visual information, such as road sign images, associated with the intersection.

Abstract translation: 作为导航系统的一部分，车辆导航系统使用预先记录的十字路口图像更快速有效地将驾驶员接近交叉点和其他兴趣点。 基于由导航系统中的路由信息​​定义的运行，记录，选择和处理预先记录的图像，其中标题信息将接近的交叉点的所选地标图像和其他兴趣点与空间节点相关联。 由路由信息定义的运行与要运行的路径或路段相关联，空间节点定义从一个运行到另一个运行的转换点，例如需要转弯来跟随路由信息的道路交叉点。 优选地，从道路段分析多个记录的图像，以选择与来自接近交叉点的多个距离相对应的一组图像，例如，其中所选择的图像包括诸如道路标志的相关视觉信息的视图 图像，与交叉点相关联。

公开(公告)号：US09989456B2

公开(公告)日：2018-06-05

申请号：US13781017

申请日：2013-02-28

Applicant: Facet Technology Corp.

Inventor： Jamie E. Retterath ,  Robert A. Laumeyer

IPC: G06K9/00 ,  G01N21/25 ,  G08G1/0967 ,  G01N21/55 ,  G01N21/84 ,  G01S17/06 ,  G06K9/20 ,  G06K9/46

CPC classification number: G01N21/251 ,  G01N21/55 ,  G01N21/84 ,  G01N2201/06113 ,  G01N2201/102 ,  G01N2201/12 ,  G01S17/06 ,  G06K9/00791 ,  G06K9/00818 ,  G06K9/2036 ,  G06K9/4652 ,  G06K9/4661 ,  G08G1/096758 ,  G08G1/096783

Abstract: A system for the determination of retroreflectivity values for reflective surfaces disposed along a roadway repeatedly illuminates an area along the roadway that includes at least one reflective surface using a light source. Multiple light intensity values are measured over a field of view which includes at least a portion of the area illuminated by the light source. A computer processing system is used to identifying a portion of the light intensity values associated with a reflective surface and analyze the portion of the light intensity values to determine at least one retroreflectivity value for that reflective surface.

公开(公告)号：US09671328B2

公开(公告)日：2017-06-06

申请号：US15148722

申请日：2016-05-06

Applicant: Facet Technology Corp.

Inventor： James E. Retterath ,  Robert A. Laumeyer

IPC: G01N21/00 ,  G01N21/25 ,  G08G1/0967 ,  G01N21/55 ,  G01N21/84 ,  G01S17/06 ,  G06K9/00 ,  G06K9/20 ,  G06K9/46

CPC classification number: G01N21/251 ,  G01N21/55 ,  G01N21/84 ,  G01N2201/06113 ,  G01N2201/102 ,  G01N2201/12 ,  G01S17/06 ,  G06K9/00791 ,  G06K9/00818 ,  G06K9/2036 ,  G06K9/4652 ,  G06K9/4661 ,  G08G1/096758 ,  G08G1/096783

Abstract: A system for classifying different types of sheeting materials of road signs depicted in a videostream compares estimated retroreflectivity values against known minimum retroreflectivity values for each of a plurality of colors. Once a road sign has been identified in the videostream, the frames associated with that road sign are analyzed to determine each of a plurality of colors present on the road sign. An estimated retroreflectivity for each of the plurality of colors present on the road sign is then determined. By comparing the estimated retroreflectivity for each of the plurality of colors against known minimum retroreflectivity values for the corresponding color for different types of sheeting materials, an accurate determination of the classification of the sheeting material of the road sign is established. Preferably, certain conditions of gross failure of the sheeting material are filtered out before classification of the sheeting material is determined.

公开(公告)号：US20100082597A1

公开(公告)日：2010-04-01

申请号：US12584894

申请日：2009-09-14

Applicant: Jamie E. Retterath ,  Robert A. Laumeyer

Inventor： Jamie E. Retterath ,  Robert A. Laumeyer

IPC: G06F17/30

CPC classification number: G06F17/30256 ,  G06F17/3025 ,  G06F17/30259 ,  G06F17/30262 ,  G06K9/00536 ,  G06K9/3233 ,  G06K9/46 ,  G06K9/4652 ,  G06K2009/4666 ,  Y10S707/99933

Abstract: The present invention is an automated and extensible system for the analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image. The system uses a Regions Of Interest (ROI) database that is a relational or analytical database containing searchable vectors that represent the images stored in a repository. Entries in the ROI database are created by an image locator and ROI classifier that work in tandem to locate images within the repository and extract the relevant information that will be stored in the ROI database. Unlike existing region-of-interest search systems, the ROI classifier analyzes objects in an image to arrive at the actual features of the true object, instead of merely describing the features of the image of that object. Graphical searches are performed by the collaborative workings of an image retrieval module, an image search requestor and an ROI query module. The image search requestor is an abstraction layer that translates user or agent search requests into the language understood by the ROI query.

Abstract translation: 本发明是一种用于基于由图像描绘的一个或多个真实对象的感兴趣区域（ROI）分析来分析和检索图像的自动化和可扩展系统。 该系统使用一个关键数据库（ROI）数据库，该数据库是一个关系数据库或分析数据库，其中包含可存储在存储库中的图像的可搜索向量。 投资回报率数据库中的条目由图像定位器和ROI分类器创建，该分类器一起工作以定位存储库中的图像，并提取将存储在ROI数据库中的相关信息。 与现有利益搜索系统不同，ROI分类器分析图像中的对象以获得真实对象的实际特征，而不是仅描述该对象的图像的特征。 图像搜索通过图像检索模块，图像搜索请求者和ROI查询模块的协作工作来执行。 图像搜索请求者是将用户或代理搜索请求转换为ROI查询所理解的语言的抽象层。

公开(公告)号：US07590310B2

公开(公告)日：2009-09-15

申请号：US11122969

申请日：2005-05-05

Applicant: Jamie E. Retterath ,  Robert A. Laumeyer

Inventor： Jamie E. Retterath ,  Robert A. Laumeyer

IPC: G06K9/00 ,  G06K9/46 ,  G06F7/00

CPC classification number: G06F17/30256 ,  G06F17/3025 ,  G06F17/30259 ,  G06F17/30262 ,  G06K9/00536 ,  G06K9/3233 ,  G06K9/46 ,  G06K9/4652 ,  G06K2009/4666 ,  Y10S707/99933

Abstract: The present invention is an automated and extensible system for the analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image. The system uses a Regions Of Interest (ROI) database that is a relational or analytical database containing searchable vectors that represent the images stored in a repository. Entries in the ROI database are created by an image locator and ROI classifier that work in tandem to locate images within the repository and extract the relevant information that will be stored in the ROI database. Unlike existing region-of-interest search systems, the ROI classifier analyzes objects in an image to arrive at the actual features of the true object, instead of merely describing the features of the image of that object. Graphical searches are performed by the collaborative workings of an image retrieval module, an image search requestor and an ROI query module. The image search requestor is an abstraction layer that translates user or agent search requests into the language understood by the ROI query.

Abstract translation: 本发明是一种用于基于由图像描绘的一个或多个真实对象的感兴趣区域（ROI）分析来分析和检索图像的自动化和可扩展系统。 该系统使用一个关键数据库（ROI）数据库，该数据库是一个关系数据库或分析数据库，其中包含可存储在存储库中的图像的可搜索向量。 投资回报率数据库中的条目由图像定位器和ROI分类器创建，该分类器一起工作以定位存储库中的图像，并提取将存储在ROI数据库中的相关信息。 与现有利益搜索系统不同，ROI分类器分析图像中的对象以获得真实对象的实际特征，而不是仅描述该对象的图像的特征。 图像搜索通过图像检索模块，图像搜索请求者和ROI查询模块的协作工作来执行。 图像搜索请求者是将用户或代理搜索请求转换为ROI查询所理解的语言的抽象层。

公开(公告)号：US20040035198A1

公开(公告)日：2004-02-26

申请号：US10462456

申请日：2003-06-16

Applicant: Facet Technology Corp.

Inventor： James E. Retterath ,  Robert A. Laumeyer ,  Steven A. Chapman

IPC: G01F017/00

CPC classification number: G01N33/12 ,  G01F22/02 ,  G01N9/02

Abstract: A system that performs content analysis on comestible products using volumetric determination with a single-chamber technique in a mass production environment. The content value determination system includes a conveyor system, a system for weighing the comestible products interposed along the path of the conveyor, a volumetric determination station that consists of a plurality of receiving chambers, and a control module. In this embodiment, each receiving chamber is equipped with a pressure sensor and a mechanical system for modifying the volume of the chamber. In addition, both the pressure sensors and the volume modification system of each receiving chamber are operably connected to the control module.

Abstract translation: 在大规模生产环境中使用单室技术进行体积测定，对可食用产品进行内容分析的系统。 内容值确定系统包括输送机系统，用于对沿着输送机的路径插入的食品进行称重的系统，由多个接收室组成的体积测定台和控制模块。 在该实施例中，每个接收室配备有压力传感器和用于改变室的体积的机械系统。 此外，每个接收室的压力传感器和体积修改系统都可操作地连接到控制模块。

公开(公告)号：US20030016869A1

公开(公告)日：2003-01-23

申请号：US10244318

申请日：2002-09-16

Applicant: Facet Technology Corp.

Inventor： Robert Anthony Laumeyer ,  James Eugene Retterath

IPC: G06K009/46

CPC classification number: G06K9/00818 ,  G06K9/4609 ,  G06T7/11 ,  G06T7/74 ,  G06T2207/10016 ,  G06T2207/30252

Abstract: The present invention relates to an apparatus for rapidly analyzing frame(s) of digitized video data which may include objects of interest randomly distributed throughout the video data and wherein said objects are susceptible to detection, classification, and ultimately identification by filtering said video data for certain differentiable characteristics of said objects. The present invention may be practiced on pre-existing sequences of image data or may be integrated into an imaging device for real-time, dynamic, object identification, classification, logging/counting, cataloging, retention (with links to stored bitmaps of said object), retrieval, and the like. The present invention readily lends itself to the problem of automatic and semi-automatic cataloging of vast numbers of objects such as traffic control signs and utility poles disposed in myriad settings. When used in conjunction with navigational or positional inputs, such as GPS, an output from the inventative systems indicates the identity of each object, calculates object location, classifies each object by type, extracts legible text appearing on a surface of the object (if any), and stores a visual representation of the object in a form dictated by the end user/operator of the system. The output lends itself to examination and extraction of scene detail, which cannot practically be successfully accomplished with just human viewers operating video equipment, although human intervention can still be used to help judge and confirm a variety of classifications of certain instances and for types of identified objects.

Abstract translation: 本发明涉及一种用于快速分析数字化视频数据的帧的装置，其可以包括遍历整个视频数据的随机分布的关注对象，并且其中所述对象易于检测，分类和最终识别，通过对所述视频数据进行滤波 所述物体的某些可微分特征。 本发明可以在图像数据的预先存在的序列上实现，或者可以集成到成像设备中用于实时，动态，对象识别，分类，记录/计数，编目，保留（具有到所存储的所述对象的位图的链接 ），检索等。 本发明容易适用于大量物体的自动和半自动编目的问题，例如设置在无数设置中的交通控制标志和电线杆。 当与导航或位置输入（如GPS）结合使用时，发明系统的输出指示每个对象的身份，计算对象位置，按类型对每个对象进行分类，提取出现在对象表面上的可读文本（如果有的话） ），并以由系统的最终用户/操作者指定的形式存储对象的可视表示。 该产品适用于场景细节的检查和提取，只有人类观众操作视频设备才能实现成功实现，尽管人为干预仍然可以用于帮助判断和确认某些情况的各种分类以及所识别的类型 对象