Short-time stopping detection from red light camera videos
    41.
    发明授权
    Short-time stopping detection from red light camera videos 有权
    从红灯摄像机视频短时间停止检测

    公开(公告)号:US09275286B2

    公开(公告)日:2016-03-01

    申请号:US14278218

    申请日:2014-05-15

    Abstract: A method for detecting a vehicle running a stop signal positioned at an intersection includes acquiring a sequence of frames from at least one video camera monitoring an intersection being signaled by the stop signal. The method includes defining a first region of interest (ROI) including a road region located before the intersection on the image plane. The method includes searching the first ROI for a candidate violating vehicle. In response to detecting the candidate violating vehicle, the method includes tracking at least one trajectory of the detected candidate violating vehicle across a number of frames. The method includes classifying the candidate violating vehicle as belonging to one of a violating vehicle and a non-violating vehicle based on the at least one trajectory.

    Abstract translation: 用于检测运行位于交叉点处的停止信号的车辆的方法包括从至少一个监视由停止信号通知的交叉路口的摄像机获取帧序列。 该方法包括定义第一感兴趣区域(ROI),其包括位于图像平面上的交点之前的道路区域。 该方法包括搜索候选违反车辆的第一ROI。 响应于检测到候选违禁车辆,该方法包括跟踪检测到的候选违反车辆的至少一个轨迹跨越多个帧。 所述方法包括基于所述至少一个轨迹将候选违禁车辆分类为属于违禁车辆和非违禁车辆中的一种。

    Computationally efficient motion estimation with learning capabilities for video compression in transportation and regularized environments
    42.
    发明授权
    Computationally efficient motion estimation with learning capabilities for video compression in transportation and regularized environments 有权
    运算和正则化环境中视频压缩的学习能力的计算效率运动估计

    公开(公告)号:US09253503B2

    公开(公告)日:2016-02-02

    申请号:US13718030

    申请日:2012-12-18

    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。

    SHORT-TIME STOPPING DETECTION FROM RED LIGHT CAMERA EVIDENTIARY PHOTOS
    43.
    发明申请
    SHORT-TIME STOPPING DETECTION FROM RED LIGHT CAMERA EVIDENTIARY PHOTOS 有权
    从红光相机发出的短时间的短时间停止检测

    公开(公告)号:US20150332588A1

    公开(公告)日:2015-11-19

    申请号:US14278196

    申请日:2014-05-15

    Abstract: A method for detecting a vehicle running a stop signal includes acquiring at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection. The method includes extracting feature points in each of the at least two evidentiary images. The method includes computing feature descriptors for each of the extracted feature points. The method includes determining a correspondence between feature points having matching feature descriptors at different locations in the at least two evidentiary images. The method includes extracting at least one attribute for each correspondence. The method includes determining if the candidate violating vehicle is in violation of running the stop signal using the extracted attribute.

    Abstract translation: 一种用于检测运行停止信号的车辆的方法,包括从至少监视交叉路口的至少一个照相机获取从所述候选违禁车辆获取的至少两个证据图像。 所述方法包括提取所述至少两个证据图像中的每一个中的特征点。 该方法包括计算每个提取的特征点的特征描述符。 该方法包括确定在至少两个证据图像中的不同位置处具有匹配特征描述符的特征点之间的对应关系。 该方法包括提取每个对应的至少一个属性。 该方法包括使用提取的属性确定候选违反车辆是否违反运行停止信号。

    VIDEO TRACKING BASED METHOD FOR AUTOMATIC SEQUENCING OF VEHICLES IN DRIVE-THRU APPLICATIONS
    44.
    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。

    METHOD FOR DETECTING LARGE SIZE AND PASSENGER VEHICLES FROM FIXED CAMERAS
    47.
    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

    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。

    WIRELESS PARKING REGISTER/PAYMENT AND VIOLATION NOTIFICATION METHOD AND SYSTEM
    48.
    发明申请
    WIRELESS PARKING REGISTER/PAYMENT AND VIOLATION NOTIFICATION METHOD AND SYSTEM 审中-公开
    无线停车登记/付款和违规通知方法和系统

    公开(公告)号:US20140310073A1

    公开(公告)日:2014-10-16

    申请号:US13861553

    申请日:2013-04-12

    CPC classification number: G06Q30/0284 G07B15/00 G07B15/02

    Abstract: Methods and systems for automatically managing parking payment and enforcement. In general, real-time data regarding vehicles located in a parking zone can be acquired. The number of vehicles in the parking zone can be determined from the acquired real-time data. From such data, the number of vehicles in the parking zone that are paid can be calculated. Then, an operation can be implemented to compare the number of the vehicles in the parking zone with the number of vehicles in the parking zone that are paid with respect to the current time to determine unpaid violations if the number of vehicles in the parking zone exceeds the number of vehicles that are paid.

    Abstract translation: 自动管理停车付款和执行的方法和系统。 通常,可以获取关于位于停车场中的车辆的实时数据。 可以从获取的实时数据中确定停车区域中的车辆数量。 根据这些数据,可以计算出停车区内车辆的数量。 然后,可以进行操作来比较停车区域中的车辆数量与停车区域中相对于当前时间支付的车辆数量,以确定如果停车区域中的车辆数量超过了停车区域中的车辆数量 支付车辆的数量。

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