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    VEHICLE DETECTION METHOD AND SYSTEM INCLUDING IRRELEVANT WINDOW ELIMINATION AND/OR WINDOW SCORE DEGRADATION
    31.
    发明申请
    VEHICLE DETECTION METHOD AND SYSTEM INCLUDING IRRELEVANT WINDOW ELIMINATION AND/OR WINDOW SCORE DEGRADATION 有权
    车辆检测方法和系统，其中包括无效窗口消除和/或窗口分辨率降级

    公开(公告)号：US20150222859A1

    公开(公告)日：2015-08-06

    申请号：US14171022

    申请日：2014-02-03

    Applicant: Xerox Corporation

    Inventor： Stuart Alan Schweid ,  Orhan Bulan ,  Yao Rong Wang ,  Wencheng Wu ,  Robert Paul Loce

    IPC: H04N7/18 ,  G06K9/00 ,  G08G1/065

    CPC classification number: G06K9/00624 ,  G06K9/00771 ,  G06K2209/23

    Abstract: This disclosure provides vehicle detection methods and systems including irrelevant search window elimination and/or window score degradation. According to one exemplary embodiment, provided is a method of detecting one or more parked vehicles in a video frame, wherein candidate search windows are limited to one or more predefined window shapes. According to another exemplary embodiment, the method includes degrading a classification score of a candidate search window based on aspect ratio, window overlap area and/or a global maximal classification.

    Abstract translation: 本公开提供了车辆检测方法和系统，包括无关的搜索窗口消除和/或窗口评分降级。 根据一个示例性实施例，提供了一种检测视频帧中的一个或多个停放车辆的方法，其中候选搜索窗口被限制为一个或多个预定窗口形状。 根据另一示例性实施例，该方法包括基于宽高比，窗口重叠区域和/或全局最大分类来降级候选搜索窗口的分类分数。

    COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS
    32.
    发明申请
    COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS 有权
    具有学习能力的计算能力运动估计，用于运输和定期环境中的视频压缩

    公开(公告)号：US20140169469A1

    公开(公告)日：2014-06-19

    申请号：US13718030

    申请日：2012-12-18

    Applicant: XEROX CORPORATION

    Inventor： Edgar A. Bernal ,  Stuart A. Schweid ,  Orhan Bulan

    IPC: H04N7/26

    CPC classification number: H04N19/521 ,  H04N19/57

    Abstract: The method facilitates efficient motion estimation for video sequences captured with a stationary camera with respect to an object. For video captured with this type of camera, a main cause of changes between adjacent frames corresponds to object motion. In this setting the output from the motion compensation stage is the block matching algorithm describing the way pixel blocks move between adjacent frames. For video captured with cameras mounted on moving vehicles (e.g. school buses, public transportation vehicles and police cars), the motion of the vehicle itself is the largest source of apparent motion in the captured video. In both cases, the encoded set of motion vectors is a good descriptor of apparent motion of objects within the field of view of the camera.

    Abstract translation: 该方法有助于相对于对象利用固定照相机拍摄的视频序列的有效运动估计。 对于使用这种相机拍摄的视频，相邻帧之间变化的主要原因对应于物体运动。 在该设置中，来自运动补偿级的输出是描述像素块在相邻帧之间移动的方式的块匹配算法。 对于搭载在移动车辆（例如校车，公共交通车辆和警车）上的摄像机拍摄的视频，车辆本身的运动是所捕获视频中最大的明显动作来源。 在这两种情况下，编码的运动矢量集合是在相机视场内的物体的明显运动的良好描述符。

    Method and system for bootstrapping an OCR engine for license plate recognition
    36.
    发明授权
    Method and system for bootstrapping an OCR engine for license plate recognition 有权
    引导OCR引擎进行车牌识别的方法和系统

    公开(公告)号：US09501707B2

    公开(公告)日：2016-11-22

    申请号：US14688255

    申请日：2015-04-16

    Applicant: Xerox Corporation

    Inventor： Orhan Bulan ,  Claude Fillion ,  Aaron M. Burry ,  Vladimir Kozitsky

    IPC: G06K9/18 ,  G06K9/32 ,  G06K9/62 ,  G06K9/00

    CPC classification number: G06K9/6256 ,  G06K2209/01 ,  G06K2209/15

    Abstract: Methods and systems for bootstrapping an OCR engine for license plate recognition. One or more OCR engines can be trained utilizing purely synthetically generated characters. A subset of classifiers, which require augmentation with real examples, along how many real examples are required for each, can be identified. The OCR engine can then be deployed to the field with constraints on automation based on this analysis to operate in a “bootstrapping” period wherein some characters are automatically recognized while others are sent for human review. The previously determined number of real examples required for augmenting the subset of classifiers can be collected. Each subset of identified classifiers can then be retrained as the number of real examples required becomes available.

    Abstract translation: 引导OCR引擎进行车牌识别的方法和系统。 可以使用纯合成生成的字符来训练一个或多个OCR引擎。 可以识别分类器的一个子集，它们需要通过实例增加，每个需要多少个实例。 然后，可以将OCR引擎部署到具有基于该分析的自动化约束的现场，以在“自举”期间操作，其中一些字符被自动识别，而其他人被发送供人审查。 可以收集先前确定的用于增加分类器子集所需的实例的数量。 随着所需实际数量的可用数量的增加，识别的分类器的每个子集可以被重新训练。

    METHODS AND SYSTEMS FOR VEHICLE TAG NUMBER RECOGNITION
    37.
    发明申请
    METHODS AND SYSTEMS FOR VEHICLE TAG NUMBER RECOGNITION 有权
    车辆标识号识别的方法和系统

    公开(公告)号：US20160171328A1

    公开(公告)日：2016-06-16

    申请号：US14567000

    申请日：2014-12-11

    Applicant: Xerox Corporation

    Inventor： Orhan Bulan ,  Howard Mizes ,  Vladimir Kozitsky ,  Aaron M. Burry

    IPC: G06K9/32 ,  G06T7/00

    CPC classification number: G06K9/3241 ,  G06K9/3258 ,  G06K9/723 ,  G06K2209/01 ,  G06K2209/15

    Abstract: Methods and systems for tag recognition in captured images. A candidate region can be localized from regions of interest with respect to a tag and a tag number shown in the regions of interest within a side image of a vehicle. A number of confidence levels can then be calculated with respect to each digit recognized as a result of an optical character recognition operation performed with respect to the tag number. Optimal candidates within the candidate region can be determined for the tag number based on individual character confidence levels among the confidence levels. Optimal candidates from a pool of valid tag numbers can then be validated using prior appearance probabilities and data returned, which is indicative of the most probable tag to be detected to improve image recognition accuracy.

    Abstract translation: 捕获图像中标签识别的方法和系统。 候选区域可以相对于标签和感兴趣区域中所示的在车辆侧面图像内的标签号进行定位。 然后可以相对于作为对标签号执行的光学字符识别操作的结果识别的每个数字来计算多个置信水平。 可以基于置信水平中的个人字符置信水平来确定候选区域内的最佳候选人的标签号码。 然后可以使用先前出现的概率和返回的数据来验证来自有效标签号码池的最佳候选者，这表示要检测的最可能标签以提高图像识别精度。

    Method for available parking distance estimation via vehicle side detection
    38.
    发明授权
    Method for available parking distance estimation via vehicle side detection 有权
    通过车辆侧检测的可用停车距离估计方法

    公开(公告)号：US09363483B2

    公开(公告)日：2016-06-07

    申请号：US13922091

    申请日：2013-06-19

    Applicant: XEROX CORPORATION

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

    IPC: G06K9/00 ,  H04N7/18 ,  G08G1/04 ,  G08G1/14

    CPC classification number: H04N7/18 ,  G06K9/00771 ,  G08G1/04 ,  G08G1/142 ,  G08G1/144 ,  G08G1/147

    Abstract: A computer-implemented method, system, and computer-readable medium is disclosed for determining an estimated available parking distance for a vehicle via vehicle side detection in one or more image frames from an operational video. The operational video can be acquired from a fixed parking occupancy video camera and can include a field of view associated with a parking region. The method can include obtaining operational video from a fixed parking occupancy video camera; detecting, within a region of interest (ROI) of the one or more image frames from the operational video, a side of one or more vehicles parked in a parking region facing a traffic lane using a trained classifier that is trained to detect the side of the one or more vehicles; and determining an estimated available parking distance based on the side of the one or more vehicles that are detected.

    Abstract translation: 公开了一种计算机实现的方法，系统和计算机可读介质，用于通过来自操作视频的一个或多个图像帧中的车辆侧检测来确定车辆的估计可用停车距离。 操作视频可以从固定的停车位摄像机获取，并且可以包括与停车区域相关联的视野。 该方法可以包括从固定停车占用摄像机获取操作视频; 在操作视频的一个或多个图像帧的感兴趣区域（ROI）内检测停放在面向行车道的停车区域中的一个或多个车辆的一侧，使用经过训练的训练分类器来检测侧面 一个或多个车辆; 以及基于检测到的一个或多个车辆的侧面来确定估计的可用停车距离。

    Method for detecting large size and passenger vehicles from fixed cameras
    39.
    发明授权
    Method for detecting large size and passenger vehicles from fixed cameras 有权
    从固定摄像机检测大型和乘用车的方法

    公开(公告)号：US09317752B2

    公开(公告)日：2016-04-19

    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。

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