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    SYSTEM AND METHOD FOR VIDEO-BASED DETECTION OF DRIVE-OFFS AND WALK-OFFS IN VEHICULAR AND PEDESTRIAN QUEUES
    21.
    发明申请
    SYSTEM AND METHOD FOR VIDEO-BASED DETECTION OF DRIVE-OFFS AND WALK-OFFS IN VEHICULAR AND PEDESTRIAN QUEUES 审中-公开
    用于基于视频检测的驾驶员和驾驶员队伍的系统和方法

    公开(公告)号：US20150310458A1

    公开(公告)日：2015-10-29

    申请号：US14279652

    申请日：2014-05-16

    Applicant: Xerox Corporation

    Inventor： Edgar A. Bernal ,  Qun Li ,  Robert P. Loce

    IPC: G06Q30/02 ,  G08B13/196 ,  G01S3/786

    CPC classification number: G06Q30/0201 ,  G06K9/00778 ,  G06K9/00798 ,  G06Q50/12

    Abstract: A system and method for detecting customer drive-off/walk-off from a customer queue. An embodiment includes acquiring images of a retail establishment, said images including at least a portion of a customer queue region, determining a queue configuration within the images, analyzing the images to detect entry of a customer into the customer queue, tracking a customer detected in the customer queue as the customer progresses within the queue, analyzing the images to detect if the customer leaves the customer queue, and generating a drive-off notification if a customer leaves the queue.

    Abstract translation: 一种用于从客户队列中检测客户关机/脱离的系统和方法。 一个实施例包括获取零售店的图像，所述图像包括客户队列区域的至少一部分，确定图像内的队列配置，分析图像以检测客户进入客户队列中的进入，跟踪客户检测到的客户 客户队列随着客户队列中的进展，分析图像以检测客户是否离开客户队列，如果客户离开队列，则生成停车通知。

    MACHINE LEARNING APPROACH FOR DETECTING MOBILE PHONE USAGE BY A DRIVER
    24.
    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

    Applicant: Xerox Corporation

    Inventor： Beilei Xu ,  Robert P. Loce ,  Thomas F. Wade ,  Peter Paul

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46

    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。

    FEATURE- AND CLASSIFIER-BASED VEHICLE HEADLIGHT/SHADOW REMOVAL IN VIDEO
    25.
    发明申请
    FEATURE- AND CLASSIFIER-BASED VEHICLE HEADLIGHT/SHADOW REMOVAL IN VIDEO 有权
    基于特征和分类器的车辆头灯/阴影去除视频

    公开(公告)号：US20150278616A1

    公开(公告)日：2015-10-01

    申请号：US14227035

    申请日：2014-03-27

    Applicant: Xerox Corporation

    Inventor： Qun Li ,  Edgar A. Bernal ,  Matthew Shreve ,  Robert P. Loce

    IPC: G06K9/00 ,  G06T7/00 ,  G06K9/62

    CPC classification number: G06K9/00825 ,  G06K9/00744 ,  G06K9/6269 ,  G06T7/194 ,  G06T7/215 ,  G06T7/251 ,  G06T7/254 ,  G06T2207/10048 ,  G06T2207/20032 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30232 ,  G06T2207/30242

    Abstract: A method for removing false foreground image content in a foreground detection process performed on a video sequence includes, for each current frame, comparing a feature value of each current pixel against a feature value of a corresponding pixel in a background model. The each current pixel is classified as belonging to one of a candidate foreground image and a background based on the comparing. A first classification image representing the candidate foreground image is generated using the current pixels classified as belonging to the candidate foreground image. The each pixel in the first classification image is classified as belonging to one of a foreground image and a false foreground image using a previously trained classifier. A modified classification image is generated for representing the foreground image using the pixels classified as belonging to the foreground image while the pixels classified as belonging to the false foreground image are removed.

    Abstract translation: 在对视频序列执行的前景检测处理中去除假前景图像内容的方法包括：对于每个当前帧，将每个当前像素的特征值与背景模型中相应像素的特征值进行比较。 基于比较，将每个当前像素分类为属于候选前景图像和背景中的一个。 使用分类为属于候选前景图像的当前像素来生成表示候选前景图像的第一分类图像。 使用先前训练的分类器将第一分类图像中的每个像素分类为属于前景图像和假前景图像之一。 生成用于使用分类为属于前景图像的像素来表示前景图像的修改后的分类图像，而分类为属于假前景图像的像素被去除。

    METHOD FOR DETECTING LARGE SIZE AND PASSENGER VEHICLES FROM FIXED CAMERAS
    27.
    发明申请
    METHOD FOR DETECTING LARGE SIZE AND PASSENGER VEHICLES FROM FIXED CAMERAS 有权
    从固定摄像机检测大型车辆和乘客车辆的方法

    公开(公告)号：US20140376769A1

    公开(公告)日：2014-12-25

    申请号：US13922336

    申请日：2013-06-20

    Applicant: Xerox Corporation

    Inventor： Orhan Bulan ,  Wencheng Wu ,  Yao Rong Wang ,  Robert P. Loce

    IPC: G06K9/00

    CPC classification number: G06K9/00771

    Abstract: A method for detecting parking occupancy includes receiving video data from a sequence of frames taken from an associated image capture device monitoring a parking area. The method includes determining at least one candidate region in the parking area. The method includes comparing a size of the candidate region to a size threshold. In response to size of the candidate region meeting and exceeding the size threshold, the method includes determining whether the candidate region includes one of at least one object and no objects. The method includes classifying at least one object in the candidate region as belonging to one of at least two vehicle-types. The method further includes providing vehicle occupancy information to a user.

    Abstract translation: 一种用于检测停车占有率的方法包括从监视停车区域的相关联的图像捕获设备中取出的帧序列中接收视频数据。 该方法包括确定停车区域中的至少一个候选区域。 该方法包括将候选区域的大小与大小阈值进行比较。 响应候选区域会议的大小并超过大小阈值，该方法包括确定候选区域是否包括至少一个对象中的一个，没有对象。 该方法包括将候选区域中的至少一个对象分类为属于至少两种车辆类型中的一种。 该方法还包括向用户提供车辆占用信息。

    METHODS AND SYSTEMS FOR MULTIMEDIA TRAJECTORY ANNOTATION
    29.
    发明申请
    METHODS AND SYSTEMS FOR MULTIMEDIA TRAJECTORY ANNOTATION 有权
    多媒体TRAJECTORY ANNOTATION的方法和系统

    公开(公告)号：US20140226852A1

    公开(公告)日：2014-08-14

    申请号：US13767658

    申请日：2013-02-14

    Applicant: XEROX CORPORATION

    Inventor： Qun Li ,  Edgar A. Bernal ,  Wencheng Wu ,  Beilei Xu ,  Robert P. Loce ,  Raja Bala ,  Stuart A. Schweid

    IPC: G06K9/32

    CPC classification number: G06K9/00771

    Abstract: A system and method of providing annotated trajectories by receiving image frames from a video camera and determining a location based on the image frames from the video camera. The system and method can further include the steps of determining that the location is associated with a preexisting annotation and displaying the preexisting annotation. Additionally or alternatively, the system and method can further include the steps of generating a new annotation automatically or based on a user input and associating the new annotation with the current location.

    Abstract translation: 一种通过从摄像机接收图像帧并基于来自摄像机的图像帧来确定位置来提供注释轨迹的系统和方法。 该系统和方法还可以包括以下步骤：确定位置与预先注释相关联并显示预先存在的注释。 附加地或替代地，系统和方法还可以包括以下步骤：自动地或基于用户输入生成新的注释并将新注释与当前位置相关联。

    SYSTEM AND METHOD FOR OBJECT TRACKING AND TIMING ACROSS MULTIPLE CAMERA VIEWS
    30.
    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

    Applicant: Xerox Corporation

    Inventor： Edgar A. Bernal ,  Robert P. Loce ,  Thomas F. Wade ,  Peter Paul

    IPC: H04N5/232

    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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