METHODS AND SYSTEMS FOR DETECTING PATCH PANEL PORTS FROM AN IMAGE IN WHICH SOME PORTS ARE OBSCURED
    31.
    发明申请
    METHODS AND SYSTEMS FOR DETECTING PATCH PANEL PORTS FROM AN IMAGE IN WHICH SOME PORTS ARE OBSCURED 有权
    用于从其中存储一些端口的图像中检测面板面板的方法和系统

    公开(公告)号:US20150049903A1

    公开(公告)日:2015-02-19

    申请号:US13968016

    申请日:2013-08-15

    Abstract: A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more line segments from the region of interest, determining whether one or more candidate ports can be identified based on at least a portion of the line segments, and in response to determining that one or more candidate ports can be identified, identifying one or more candidate ports, and determining, by the computing device, a gap length associated with the identified candidate ports.

    Abstract translation: 估计接线板的一个或多个维度的方法可以包括接收包括多个端口和一个或多个间隙的接线板的图像,由计算设备从接收到的图像提取感兴趣区域,检测 由所述计算设备,来自所述感兴趣区域的一个或多个线段,基于所述线段的至少一部分来确定是否可以识别一个或多个候选端口,并且响应于确定一个或多个候选端口可以 识别一个或多个候选端口,以及由计算设备确定与所识别的候选端口相关联的间隙长度。

    Product identification using mobile device
    32.
    发明授权
    Product identification using mobile device 有权
    使用移动设备的产品标识

    公开(公告)号:US08848088B2

    公开(公告)日:2014-09-30

    申请号:US14070775

    申请日:2013-11-04

    CPC classification number: G06K9/00671 G06K9/2081 G06K9/46

    Abstract: A method and apparatus for obtaining an image and providing one or more document files to a user is disclosed. The method may include receiving an image of a target object using an imaging device, analyzing the image to identify one or more features, and accessing a model database to identify an object model having features that match the identified features from the image. When the system determines that more than one model may be a match, the method looks for distinguishing features of the target object and selects a model that includes the distinguishing features. The method then includes, retrieving a document file that corresponds to the identified model from a file database, and providing the document file to a user.

    Abstract translation: 公开了一种用于获得图像并向用户提供一个或多个文档文件的方法和装置。 该方法可以包括使用成像设备接收目标对象的图像,分析图像以识别一个或多个特征,以及访问模型数据库以识别具有与来自图像的识别的特征匹配的特征的对象模型。 当系统确定多个模型可能是匹配时,该方法寻找目标对象的区别特征并选择包含区别特征的模型。 该方法然后包括从文件数据库检索对应于所识别的模型的文档文件,并将文档文件提供给用户。

    System and method for associating an order with an object in a multiple lane environment
    33.
    发明授权
    System and method for associating an order with an object in a multiple lane environment 有权
    将订单与多车道环境中的对象相关联的系统和方法

    公开(公告)号:US08774462B2

    公开(公告)日:2014-07-08

    申请号:US13768883

    申请日:2013-02-15

    CPC classification number: H04N7/18 G06Q10/087 G06Q30/06

    Abstract: Images with respect to an object at an ordering, payment, and delivery locations can be captured utilizing an image capturing system. Capture can be after detecting the presence of the object at each location utilizing an object presence sensor. The captured image can be processed to associate it with a signature and can also be processed in order to extract a small region of interest (e.g., license plate) and can be reduced to a unique signature. Signature can be stored into a database together with the corresponding order and images. Signatures can be matched. The order associated with the object matched by the system together with at least one of the images captured at the delivery point and the order point can be displayed at a user interface located at the payment/delivery point to ensure that the right order is delivered to the right customer associated with the object.

    Abstract translation: 可以使用图像捕获系统捕获在订购,付款和传送位置处的对象的图像。 在使用对象存在传感器检测每个位置处的对象的存在之后,可以进行捕获。 捕获的图像可以被处理以将其与签名相关联,并且还可以被处理以便提取感兴趣的小区域(例如,牌照),并且可以将其缩小为唯一的签名。 签名可以与相应的订单和图像一起存储到数据库中。 签名可以匹配。 与由系统匹配的对象相关联的订单与在传送点和订单点捕获的至少一个图像可以显示在位于支付/传送点的用户界面上,以确保正确的订单被传送到 与对象关联的正确客户。

    Vehicle dimension estimation from vehicle images
    34.
    发明授权
    Vehicle dimension estimation from vehicle images 有权
    车辆图像的车辆尺寸估计

    公开(公告)号:US09396553B2

    公开(公告)日:2016-07-19

    申请号:US14254360

    申请日:2014-04-16

    Abstract: A method and system for determining one or more dimension estimations for a vehicle. A sequence of image frames of a vehicle is received, and a digital representation of the vehicle is extracted from each image in the sequence of image frames. A bounding box is determined for the vehicle based upon the extracted digital representation for each digital representation of the vehicle and at least one dimension of the vehicle is estimated based upon the determined bounding box. An indication of the at least one estimated dimension is output. The indication of at least one estimated dimension is transferred as an input to a comparison technique for further processing the indication of the at least one estimated dimension. The comparison technique can include a parking determination process configured to determine a recommended spot for the vehicle based upon the indication of the at least one estimated dimension.

    Abstract translation: 一种用于确定车辆的一个或多个维度估计的方法和系统。 接收车辆的一系列图像帧,并且从图像帧序列中的每个图像中提取车辆的数字表示。 基于车辆的每个数字表示的提取的数字表示,为车辆确定边界框,并且基于所确定的边界框来估计车辆的至少一个维度。 输出至少一个估计尺寸的指示。 将至少一个估计维度的指示作为输入传送到比较技术,以进一步处理至少一个估计维度的指示。 比较技术可以包括停车确定过程,其被配置为基于至少一个估计维度的指示来确定车辆的推荐点。

    Detecting multi-object anomalies utilizing a low rank sparsity model
    35.
    发明授权
    Detecting multi-object anomalies utilizing a low rank sparsity model 有权
    使用低秩稀疏模型检测多物体异常

    公开(公告)号:US09317780B2

    公开(公告)日:2016-04-19

    申请号:US14326635

    申请日:2014-07-09

    CPC classification number: G06K9/6249 G06K9/00771

    Abstract: Methods and systems for detecting anomalies in transportation related video footage. In an offline training phase, receiving video footage of a traffic location can be received. Also, in an offline training phase, event encodings can be extracted from the video footage and collected or compiled into a training dictionary. One or more input video sequences captured at the traffic location or a similar traffic location can be received in an online detection phase. Then, an event encoding corresponding to the input video sequence can be extracted. The event encoding can be reconstructed with a low rank sparsity prior model applied with respect to the training dictionary. The reconstruction error between actual and reconstructed event encodings can then be computed in order to determine if an event thereof is anomalous by comparing the reconstruction error with a threshold.

    Abstract translation: 检测交通相关影像异常的方法和系统。 在离线训练阶段,可以接收到接收到交通位置的录像带。 此外,在离线训练阶段,可以从视频素材中提取事件编码,并将其收集或编译成训练词典。 在在线检测阶段可以接收在业务位置或类似业务位置处捕获的一个或多个输入视频序列。 然后,可以提取与输入视频序列相对应的事件编码。 可以使用相对于训练词典应用的低秩稀疏性先验模型来重构事件编码。 然后可以计算实际和重建事件编码之间的重建误差,以便通过将重建误差与阈值进行比较来确定其事件是否是异常的。

    DETECTING MULTI-OBJECT ANOMALIES UTILIZING A LOW RANK SPARSITY MODEL
    36.
    发明申请
    DETECTING MULTI-OBJECT ANOMALIES UTILIZING A LOW RANK SPARSITY MODEL 有权
    检测使用低排名空间模型的多对象异常

    公开(公告)号:US20150110357A1

    公开(公告)日:2015-04-23

    申请号:US14326635

    申请日:2014-07-09

    CPC classification number: G06K9/6249 G06K9/00771

    Abstract: Methods and systems for detecting anomalies in transportation related video footage. In an offline training phase, receiving video footage of a traffic location can be received. Also, in an offline training phase, event encodings can be extracted from the video footage and collected or compiled into a training dictionary. One or more input video sequences captured at the traffic location or a similar traffic location can be received in an online detection phase. Then, an event encoding corresponding to the input video sequence can be extracted. The event encoding can be reconstructed with a low rank sparsity prior model applied with respect to the training dictionary. The reconstruction error between actual and reconstructed event encodings can then be computed in order to determine if an event thereof is anomalous by comparing the reconstruction error with a threshold.

    Abstract translation: 检测交通相关影像异常的方法和系统。 在离线训练阶段,可以接收到接收到交通位置的录像带。 此外,在离线训练阶段,可以从视频素材中提取事件编码,并将其收集或编译成训练词典。 在在线检测阶段可以接收在业务位置或相似的业务位置处捕获的一个或多个输入视频序列。 然后,可以提取与输入视频序列相对应的事件编码。 可以使用相对于训练词典应用的低秩稀疏性先验模型来重构事件编码。 然后可以计算实际和重建事件编码之间的重建误差,以便通过将重建误差与阈值进行比较来确定其事件是否是异常的。

    METHODS AND SYSTEMS FOR DETECTING PATCH PANEL PORTS FROM AN IMAGE HAVING PERSPECTIVE DISTORTION
    37.
    发明申请
    METHODS AND SYSTEMS FOR DETECTING PATCH PANEL PORTS FROM AN IMAGE HAVING PERSPECTIVE DISTORTION 有权
    用于从具有视觉失真的图像中检测面板面板的方法和系统

    公开(公告)号:US20150049918A1

    公开(公告)日:2015-02-19

    申请号:US13967978

    申请日:2013-08-15

    Abstract: A method of estimating one or more dimensions of a patch panel may include receiving an image of a patch panel that comprises a plurality of ports and one or more gaps, extracting, by a computing device, a region of interest from the received image, detecting, by the computing device, one or more possible port edges from the region of interest, fitting the detected possible port edges to a cross-ratio constancy model to determine a port-to-gap-length ratio associated with the patch panel, using the port-length-to-gap-length ratio to determine a location of one or more final port edges, and determining a location of one or more final ports based on the location of the final port edges.

    Abstract translation: 估计接线板的一个或多个维度的方法可以包括接收包括多个端口和一个或多个间隙的接线板的图像,由计算设备从接收到的图像提取感兴趣区域,检测 通过计算设备,来自感兴趣区域的一个或多个可能的端口边缘将检测到的可能的端口边缘拟合到交比率常数模型,以使用该接口面板确定与接插板相关联的端口间隙长度比 端口长度到间隙长度比以确定一个或多个最终端口边缘的位置,以及基于最终端口边缘的位置来确定一个或多个最终端口的位置。

    METHOD AND APPARATUS FOR PROCESSING IMAGE OF PATCH PANEL
    38.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING IMAGE OF PATCH PANEL 有权
    用于处理面板的图像的方法和装置

    公开(公告)号:US20140313364A1

    公开(公告)日:2014-10-23

    申请号:US13866506

    申请日:2013-04-19

    CPC classification number: H04N5/225 G06K9/00664 G06K2209/03

    Abstract: A method for processing an image of a patch panel includes: a) receiving an initial image; b) determining multiple ports of the patch panel are aligned in a desired orientation in the initial image; c) processing the initial image to identify edge lines perpendicular to the desired orientation; d) processing the edge lines to identify a port hypothesis that includes an estimated port gap between the multiple ports along the desired orientation and an estimated port size for the multiple ports along the desired orientation; e) processing the port hypothesis to determine an estimated port quantity for the multiple ports; and f) processing the port hypothesis to identify an estimation error between expected and detected edge line positions in relation to a reference axis perpendicular to the edge lines. An apparatus associated therewith includes an input/output and pre-processing modules and detection, hypothesis, estimating, and scoring processors.

    Abstract translation: 用于处理接线板的图像的方法包括:a)接收初始图像; b)确定接线板的多个端口在初始图像中以期望的方向对齐; c)处理初始图像以识别垂直于期望取向的边缘线; d)处理边缘线以识别端口假说,其包括沿着期望取向的多个端口之间的估计端口间隙以及沿着期望取向的多个端口的估计端口大小; e)处理端口假设以确定多个端口的估计端口数量; 以及f)处理所述端口假设以识别相对于垂直于所述边缘线的参考轴的期望和检测到的边缘线位置之间的估计误差。 与其相关联的装置包括输入/​​输出和预处理模块以及检测,假设,估计和评分处理器。

    DICTIONARY DESIGN FOR COMPUTATIONALLY EFFICIENT VIDEO ANOMALY DETECTION VIA SPARSE RECONSTRUCTION TECHNIQUES
    39.
    发明申请
    DICTIONARY DESIGN FOR COMPUTATIONALLY EFFICIENT VIDEO ANOMALY DETECTION VIA SPARSE RECONSTRUCTION TECHNIQUES 有权
    通过稀疏重建技术进行计算效能视觉异常检测的词典设计

    公开(公告)号:US20140270353A1

    公开(公告)日:2014-09-18

    申请号:US13827222

    申请日:2013-03-14

    CPC classification number: G06K9/00771 G06K9/6249

    Abstract: Methods, systems, and processor-readable media for pruning a training dictionary for use in detecting anomalous events from surveillance video. Training samples can be received, which correspond to normal events. A dictionary can then be constructed, which includes two or more classes of normal events from the training samples. Sparse codes are then generated for selected training samples with respect to the dictionary derived from the two or more classes of normal events. The size of the dictionary can then be reduced by removing redundant dictionary columns from the dictionary via analysis of the sparse codes. The dictionary is then optimized to yield a low reconstruction error and a high-interclass discriminability.

    Abstract translation: 用于修剪用于检测来自监视视频的异常事件的训练词典的方法,系统和处理器可读介质。 可以收到培训样本,对应于正常事件。 然后可以构建字典,其包括来自训练样本的两个或更多类的正常事件。 然后针对从两个或多个正常事件类派生的字典为选定的训练样本生成稀疏码。 然后可以通过对稀疏代码的分析从字典中删除冗余字典列来减少字典的大小。 然后对该字典进行优化,以产生低重构误差和高阶间的可辨别性。

    SYSTEM AND METHOD FOR ESTIMATION OF AVAILABLE PARKING SPACE THROUGH INTERSECTION TRAFFIC COUNTING
    40.
    发明申请
    SYSTEM AND METHOD FOR ESTIMATION OF AVAILABLE PARKING SPACE THROUGH INTERSECTION TRAFFIC COUNTING 有权
    通过交叉点交通计算估计可行停车位的系统和方法

    公开(公告)号:US20140145862A1

    公开(公告)日:2014-05-29

    申请号:US13684817

    申请日:2012-11-26

    CPC classification number: G08G1/04 G08G1/065 G08G1/141 G08G1/142 G08G1/147

    Abstract: A method and structure for estimating parking occupancy within an area of interest can include the use of at least two image capture devices and a processor (e.g., a computer) which form at least part of a network. A method for estimating the parking occupancy within the area of interest can include the use of vehicle entry and exit data from the area of interest, as well as an estimated transit time for vehicles transiting through the area of interest without parking.

    Abstract translation: 用于估计感兴趣区域内的停车占有率的方法和结构可以包括使用至少两个图像捕获装置和形成网络的至少一部分的处理器(例如,计算机)。 用于估计感兴趣区域内的停车占用的方法可以包括使用来自感兴趣区域的车辆入口和出口数据,以及在没有停车的情况下经过感兴趣区域的车辆的估计过境时间。

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