Data augmentation method and system for improved automatic license plate recognition
    62.
    发明授权
    Data augmentation method and system for improved automatic license plate recognition 有权
    用于改进自动车牌识别的数据增强方法和系统

    公开(公告)号:US09224058B2

    公开(公告)日:2015-12-29

    申请号:US13857657

    申请日:2013-04-05

    CPC classification number: G06K9/2027 G06K9/3258 G06K2209/15

    Abstract: Methods, systems, and processor-readable media for data augmentation utilized in an automatic license plate recognition engine. A machine-readable code can be associated with an automatic license plate recognition engine. The machine-readable code can be configured to define parameters that drive processing within the automatic license plate recognition engine to produce recognition results thereof and enhance a machine readability of a license plate recognized and analyzed via the automatic license plate recognition engine.

    Abstract translation: 用于在自动车牌识别引擎中使用的用于数据增加的方法,系统和处理器可读介质。 机器可读代码可以与自动车牌识别引擎相关联。 机器可读代码可以被配置为定义驱动自动车牌识别引擎内的处理以产生其识别结果的参数,并提高通过自动车牌识别引擎识别和分析的牌照的机器可读性。

    IMAGE PROCESSING METHODS AND SYSTEMS FOR BARCODE AND/OR PRODUCT LABEL RECOGNITION
    64.
    发明申请
    IMAGE PROCESSING METHODS AND SYSTEMS FOR BARCODE AND/OR PRODUCT LABEL RECOGNITION 有权
    用于条形码和/或产品标签识别的图像处理方法和系统

    公开(公告)号:US20150363625A1

    公开(公告)日:2015-12-17

    申请号:US14303724

    申请日:2014-06-13

    Abstract: This disclosure provides an image processing method and system for recognizing barcodes and/or product labels. According to an exemplary embodiment, the method uses a multifaceted detection process that includes both image enhancement of a candidate barcode region and other product label information associated with a candidate barcode region to identify a product label, where the candidate barcode region includes a nonreadable barcode. According to one exemplary application, a store profile is generated based on the identifications of the product labels which are associated with a location of a product within a store.

    Abstract translation: 本公开提供了一种用于识别条形码和/或产品标签的图像处理方法和系统。 根据示例性实施例,该方法使用多方面检测处理,其包括候选条形码区域的图像增强和与候选条形码区域相关联的其他产品标签信息,以识别产品标签,其中候选条形码区域包括不可读条形码。 根据一个示例性应用,基于与商店内的产品的位置相关联的商品标签的标识来生成商店简档。

    VIDEO TRACKING BASED METHOD FOR AUTOMATIC SEQUENCING OF VEHICLES IN DRIVE-THRU APPLICATIONS
    65.
    发明申请
    VIDEO TRACKING BASED METHOD FOR AUTOMATIC SEQUENCING OF VEHICLES IN DRIVE-THRU APPLICATIONS 有权
    基于视频跟踪的驱动力应用中车辆自动排序的方法

    公开(公告)号:US20150310370A1

    公开(公告)日:2015-10-29

    申请号:US14260915

    申请日:2014-04-24

    Abstract: A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.

    Abstract translation: 一种用于更新事件序列的方法包括从至少一个图像源获取队列区域的视频数据; 在所述帧中搜索位于所述视频数据中定义的起点的至少接近感兴趣区域(ROI)的对象; 在随后的一系列帧中跟踪每个检测到的对象通过队列区域的移动; 使用所述跟踪,确定被跟踪对象的位置是否到达所述队列区域中的多个队列收敛到单个队列通道中的预定义合并点; 响应于被跟踪的对象到达预定义的合并点,计算被跟踪对象在接近终点事件点的其他主体中所在的观察序列; 并且更新结束事件序列以匹配在单个队列通道中观察到的受试者序列。

    MACHINE LEARNING APPROACH FOR DETECTING MOBILE PHONE USAGE BY A DRIVER
    66.
    发明申请
    MACHINE LEARNING APPROACH FOR DETECTING MOBILE PHONE USAGE BY A DRIVER 有权
    用于检测驾驶员使用移动电话的机器学习方法

    公开(公告)号:US20150286884A1

    公开(公告)日:2015-10-08

    申请号:US14245212

    申请日:2014-04-04

    CPC classification number: G06K9/00845 G06K9/4676 G06K9/6234

    Abstract: A system and method for detecting electronic device use by a driver of a vehicle including acquiring an image including a vehicle from an associated image capture device positioned to view oncoming traffic, locating a windshield region of the vehicle in the captured image, processing pixels of the windshield region of the image for computing a feature vector describing the windshield region of the vehicle, applying the feature vector to a classifier for classifying the image into respective classes including at least classes for candidate electronic device use and candidate electronic device non-use, and outputting the classification.

    Abstract translation: 一种用于检测车辆驾驶员的电子设备使用的系统和方法,包括从相关联的图像捕获装置获取包括车辆的图像,定位成查看迎面而来的交通,将所述车辆的挡风玻璃区域定位在所捕获的图像中,处理所述车辆的像素 用于计算描述车辆挡风玻璃区域的特征矢量的图像的挡风玻璃区域,将特征矢量应用于分类器,用于将图像分类为至少包括用于候选电子设备使用的类别和候选电子设备不使用的相应等级,以及 输出分类。

    Method and apparatus for compensation of banding from multiple sources in marking platform
    69.
    发明授权
    Method and apparatus for compensation of banding from multiple sources in marking platform 有权
    在标记平台上从多个来源补偿条带的方法和装置

    公开(公告)号:US08929758B2

    公开(公告)日:2015-01-06

    申请号:US13855322

    申请日:2013-04-02

    CPC classification number: G03G15/5058 G03G15/0189 G03G15/5062

    Abstract: A method for compensation of banding in a marking platform includes: initiating a calibration stage; marking a test pattern over multiple intervals of a lowest fundamental frequency among marking modules; obtaining image data for the test pattern from a sensor; obtaining 1× signals from sensors associated with the marking modules; and processing the image data in relation to the 1× signals to form banding profiles for multiple marking modules. Alternatively, the method may include: processing image data in relation to 1× signals to form banding profiles for multiple marking modules; determining amplitudes in multiple banding profiles exceeds a threshold to identify dominant banding profiles; and processing dominant banding profiles to form dominant banding signatures. Alternatively, the method may include: initiating a correction stage; obtaining 1× signals from sensors associated with dominant marking modules; and periodically processing dominant banding signatures and 1× signals to determine a banding compensation value.

    Abstract translation: 用于补偿标记平台中的条带的方法包括:启动校准阶段; 在标记模块之间的最低基频的多个间隔上标记测试图案; 从传感器获取测试图案的图像数据; 从与标记模块相关的传感器获取1×信号; 并处理与1×信号相关的图像数据,以形成多个标记模块的条带轮廓。 或者,该方法可以包括:处理与1×信号相关的图像数据,以形成多个标记模块的条带轮廓; 确定多个条带轮廓中的幅度超过阈值以识别主要条带轮廓; 并处理主要条带轮廓以形成主要条带签名。 或者,该方法可以包括:启动校正阶段; 从与主要标记模块相关的传感器获取1×信号; 并定期处理主要条带签名和1×信号以确定条带补偿值。

    SYSTEM AND METHOD FOR OBJECT TRACKING AND TIMING ACROSS MULTIPLE CAMERA VIEWS
    70.
    发明申请
    SYSTEM AND METHOD FOR OBJECT TRACKING AND TIMING ACROSS MULTIPLE CAMERA VIEWS 有权
    通过多个摄像机视图进行对象跟踪和定时的系统和方法

    公开(公告)号:US20140063263A1

    公开(公告)日:2014-03-06

    申请号:US13973330

    申请日:2013-08-22

    CPC classification number: H04N5/23296 G08B13/19608 G08B13/19645

    Abstract: A system and method for object tracking and timing across multiple camera views includes local and global tracking modules for tracking the location of objects as they traverse particular regions of interest within an area of interest. A local timing module measures the time spent with each object within the area captured by a camera. A global timing module measures the time taken by the tracked object to traverse the entire area of interest or the length of the stay of the object within the area of interest.

    Abstract translation: 用于在多个摄像机视图之间进行对象跟踪和定时的系统和方法包括本地和全局跟踪模块,用于在对象遍历感兴趣区域内的特定感兴趣区域时跟踪对象的位置。 本地计时模块可测量摄像机拍摄区域内每个物体所花费的时间。 全局计时模块测量被跟踪对象在感兴趣区域中遍历整个感兴趣区域或对象的停留时间所花费的时间。

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