HYBRID METHOD AND SYSTEM OF VIDEO AND VISION BASED ACCESS CONTROL FOR PARKING STALL OCCUPANCY DETERMINATION
    52.
    发明申请
    HYBRID METHOD AND SYSTEM OF VIDEO AND VISION BASED ACCESS CONTROL FOR PARKING STALL OCCUPANCY DETERMINATION 有权
    基于视频和视觉的混合方法和系统基于停车场停车确定的接入控制

    公开(公告)号:US20150043771A1

    公开(公告)日:2015-02-12

    申请号:US13963200

    申请日:2013-08-09

    Abstract: Hybrid methods, systems and processor-readable media for video and vision based access control for parking occupancy determination. One or more image frames of a parking area of interest can be acquired from among two or more regions of interest defined with respect to the parking area of interest. The regions of interest can be analyzed for motion detection or image content change detection. An image content classification operation can be performed with respect to a first region of interest among the regions of interest based on the result of the image content change detection. An object tracking operation can then be performed with respect to a second region of interest among the regions of interest if the result of the image content classification operation indicates a presence of one or more objects of interest within the parking area of interest.

    Abstract translation: 用于基于视频和视觉的访问控制的混合方法,系统和处理器可读介质,用于停车占用确定。 可以从相关于感兴趣的停车区域定义的两个或更多个关注区域中获取感兴趣的停车区域的一个或多个图像帧。 可以分析感兴趣区域的运动检测或图像内容变化检测。 可以基于图像内容变化检测的结果,针对感兴趣区域中的第一感兴趣区域执行图像内容分类操作。 如果图像内容分类操作的结果表示感兴趣的停车区域内的一个或多个感兴趣对象的存在,则可以针对感兴趣区域中的第二感兴趣区域执行对象跟踪操作。

    METHOD FOR AVAILABLE PARKING DISTANCE ESTIMATION VIA VEHICLE SIDE DETECTION
    53.
    发明申请
    METHOD FOR AVAILABLE PARKING DISTANCE ESTIMATION VIA VEHICLE SIDE DETECTION 有权
    用于通过车辆侧面检测提供停车距离估计的方法

    公开(公告)号:US20140375804A1

    公开(公告)日:2014-12-25

    申请号:US13922091

    申请日:2013-06-19

    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 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。

    TRAFFIC CAMERA CALIBRATION UPDATE UTILIZING SCENE ANALYSIS
    54.
    发明申请
    TRAFFIC CAMERA CALIBRATION UPDATE UTILIZING SCENE ANALYSIS 有权
    交通相机校准更新利用场景分析

    公开(公告)号:US20140313347A1

    公开(公告)日:2014-10-23

    申请号:US13868267

    申请日:2013-04-23

    Abstract: Methods and systems are disclosed for updating camera geometric calibration utilizing scene analysis. Geometric calibration parameters can be derived with respect to one or more cameras and selected reference points of interest identified from a scene acquired by one or more of such cameras. The camera geometric calibration parameters can be applied to image coordinates of the selected reference points of interest to provide real-world coordinates at a time of initial calibration of the camera(s). A subset of a video stream from the camera(s) can then be analyzed to identify features of a current scene captured by the camera(s) that match the selected reference points of interest and provide a current update of the camera geometric calibration parameters with respect to the current scene.

    Abstract translation: 公开了利用场景分析更新摄像机几何校准的方法和系统。 可以相对于从一个或多个这样的相机获取的场景中识别的一个或多个摄像机和所选择的感兴趣的参考点导出几何校准参数。 相机几何校准参数可以应用于所选择的参考点的图像坐标,以在相机的初始校准时提供真实世界坐标。 然后可以分析来自相机的视频流的子集,以识别由相机捕获的当前场景的特征,所述相机与所选择的感兴趣的参考点匹配,并且提供相机几何校准参数的当前更新, 尊重当前场景。

    SYSTEMS AND METHODS FOR ROBOT MOTION CONTROL AND IMPROVED POSITIONAL ACCURACY

    公开(公告)号:US20170261993A1

    公开(公告)日:2017-09-14

    申请号:US15066392

    申请日:2016-03-10

    CPC classification number: G06Q10/087 G05D1/0272 G05D2201/0207 Y10S901/01

    Abstract: Direction and speed of robotic data acquisition systems engaged in acquiring data in mapped or route-planned environments, and/or environments having reference features (e.g., shelves, walls, curbs or other structure) enabling additional guidance and control, are disclosed. A mobile base can include wheels adapted to navigate an environment. At least one sensor (e.g., imaging camera, acoustic, passive infrared, etc.) can be mounted on the mobile base and acquires data (e.g., images) of items associated with or located along fixed structures defining the pathways within the environment. A computer can control mobile base movement and orientation with respect to the at least one structure utilizing range sensors and PID controllers, track mobile base location, and organize acquired data. Range sensors under the control of the at least one computer can be adapted to control mobile base movement in a straight line and at a constant speed with respect to a fixed structure.

    System and method for achieving computationally efficient motion estimation in video compression based on motion direction and magnitude prediction

    公开(公告)号:US09736493B2

    公开(公告)日:2017-08-15

    申请号:US14541550

    申请日:2014-11-14

    CPC classification number: H04N19/57

    Abstract: Block-based motion estimation of video compression estimates the direction and magnitude of motion of objects in the scene in a computationally efficient manner and accurately predicts the optimal search direction/neighborhood location for motion vectors. A system can include a motion detection module that detects apparent motion in the scene, a motion direction and magnitude prediction module that estimates the direction and magnitude of motion of the objects detected to be in motion by the motion detection module, and a block-based motion estimation module that performs searches in reduced neighborhoods of the target block according to the estimated motion by the motion direction and magnitude prediction module and only for the blocks determined to be in motion by the motion detection module. The Invention is particularly well suited for stationary traffic cameras that monitor roads and highways for traffic law enforcement purposes.

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