VIDEO-BASED SYSTEM FOR AUTOMATED DETECTION OF DOUBLE PARKING VIOLATIONS
    101.
    发明申请
    VIDEO-BASED SYSTEM FOR AUTOMATED DETECTION OF DOUBLE PARKING VIOLATIONS 审中-公开
    基于视频的系统,用于自动检测双停车场

    公开(公告)号:US20150206014A1

    公开(公告)日:2015-07-23

    申请号:US14161016

    申请日:2014-01-22

    Abstract: A method for detecting a double-parked vehicle includes identifying a parking region in video data received from an image capture device monitoring the parking region. The method includes defining an enforcement region at least partially surrounding the parking region. The method includes detecting a stationary vehicle in the enforcement region. The method includes determining the occurrence of an event relative to the stationary vehicle. In response to the determined occurrence of the event, the method includes classifying the stationary vehicle as being one of double parked and not double parked.

    Abstract translation: 用于检测双驻车的方法包括:从监视停车区域的图像捕获装置接收的视频数据中识别停车区域。 该方法包括定义至少部分围绕停车区域的执行区域。 该方法包括在执行区域中检测固定车辆。 该方法包括确定相对于静止车辆的事件的发生。 响应于确定的事件的发生,该方法包括将固定车辆分类为双停车并不是双停车。

    Adaptive quality image reconstruction via a compressed sensing framework
    102.
    发明授权
    Adaptive quality image reconstruction via a compressed sensing framework 有权
    通过压缩感知框架进行自适应质量图像重建

    公开(公告)号:US09025883B2

    公开(公告)日:2015-05-05

    申请号:US14085143

    申请日:2013-11-20

    Abstract: What is disclosed is a system and method which reconstructs an N-pixel image of a scene such that Q pixel locations associated with identified regions of interest in a scene have a higher image quality when rendered relative to other pixels in the image. Acquisition and adaptive-quality compression are performed simultaneously by semi-synchronously or asynchronously temporally modulating an ordered set of sampling functions used to spatially modulate a pattern of light. The teachings hereof improve compression efficiency of a compressed sensing framework while improving encoding efficiency with respect to traditional compressed sensing techniques.

    Abstract translation: 所公开的是一种重建场景的N像素图像的系统和方法,使得当相对于图像中的其他像素渲染时,与场景中的识别的感兴趣区域相关联的Q个像素位置具有较高的图像质量。 通过半同步或异步时间调制用于空间调制光模式的有序集合采样功能同时执行采集和自适应质量压缩。 本发明的教导提高了压缩感测框架的压缩效率,同时提高了传统压缩感测技术的编码效率。

    Estimating a pose of a camera for volume estimation
    104.
    发明授权
    Estimating a pose of a camera for volume estimation 有权
    估计摄像机的体积估计姿势

    公开(公告)号:US08995754B2

    公开(公告)日:2015-03-31

    申请号:US13905788

    申请日:2013-05-30

    CPC classification number: G06T7/004 G06T7/75 G06T2207/30244

    Abstract: What is disclosed a system and method for estimating a position (or pose) of a camera relative to a surface upon which an object rests in an image captured by that camera such that a volume can be estimated for that object. In one embodiment, a matrix K is determined from parameters intrinsic to a camera used to capture image. An amount of a camera translation T is determined with respect to a set of real-world coordinates in (X,Y,Z). An amount of a camera rotation matrix R is determined from camera angles measured with respect to the real-world coordinates. A distance Zc of the camera at location (i,j) can then be estimated. A volume of the object in an image of that object can be estimated from the camera pose.

    Abstract translation: 公开了一种用于估计相机相对于表面的位置(或姿态)的系统和方法,在该表面上物体停留在由该相机拍摄的图像中,使得可以为该对象估计音量。 在一个实施例中,矩阵K由用于捕获图像的相机固有的参数确定。 相对于(X,Y,Z)中的一组真实世界坐标来确定相机平移度T的量。 从相对于真实世界坐标测量的相机角度确定相机旋转矩阵R的量。 然后可以估计位置(i,j)处的摄像机的距离Zc。 可以从相机姿态估计该物体的图像中的物体的体积。

    HEURISTIC-BASED APPROACH FOR AUTOMATIC PAYMENT GESTURE CLASSIFICATION AND DETECTION
    105.
    发明申请
    HEURISTIC-BASED APPROACH FOR AUTOMATIC PAYMENT GESTURE CLASSIFICATION AND DETECTION 有权
    基于自动支付手段分类和检测的基于HEADISTIC的方法

    公开(公告)号:US20140064566A1

    公开(公告)日:2014-03-06

    申请号:US13964652

    申请日:2013-08-12

    Abstract: A system and method for automatic classification and detection of a payment gesture are disclosed. The method includes obtaining a video stream from a camera placed above at least one region of interest, the region of interest classifying the payment gesture. A background image is generated from the obtained video stream. Motion is estimated in at least two consecutive frames from the video stream. A representation is created from the background image and the estimated motion occurring within the at least one region of interest. The payment gesture is detected based on the representation.

    Abstract translation: 公开了一种用于自动分类和检测支付手势的系统和方法。 该方法包括从放置在至少一个感兴趣区域上的相机获取视频流,该感兴趣区域对支付手势进行分类。 从获得的视频流生成背景图像。 从视频流中至少连续两帧估计运动。 从背景图像和在所述至少一个感兴趣区域内发生的估计运动创建表示。 基于表示检测支付手势。

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