METHOD FOR OBJECT SIZE CALIBRATION TO AID VEHICLE DETECTION FOR VIDEO-BASED ON-STREET PARKING TECHNOLOGY
    1.
    发明申请
    METHOD FOR OBJECT SIZE CALIBRATION TO AID VEHICLE DETECTION FOR VIDEO-BASED ON-STREET PARKING TECHNOLOGY 有权
    用于基于视频的道路停放技术的用于车辆检测的对象尺寸校准的方法

    公开(公告)号:US20150124093A1

    公开(公告)日:2015-05-07

    申请号:US14070812

    申请日:2013-11-04

    CPC classification number: G06K9/00812 G06K9/00771 G08G1/141 G08G1/168

    Abstract: A method for determining parking availability includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method includes detecting at least one object located in the parking area. The method includes determining boundaries of the parking area. The boundaries include at least an inner boundary relative to the image capture device and an outer boundary relative to the image capture device. The outer boundary is substantially parallel to the inner boundary. The method further includes computing a length of at least one of the object and a space between objects using an object pixel for each of the inner and outer boundaries. Using the computed length, The method includes determining a parking availability in the parking area. The method includes outputting a notice of the parking availability to a user.

    Abstract translation: 用于确定停车可用性的方法包括从监视停车区域的图像捕获装置中取出的帧序列中接收视频数据。 该方法包括检测位于停车区域中的至少一个物体。 该方法包括确定停车区域的边界。 边界至少包括相对于图像捕获装置的内边界和相对于图像捕获装置的外边界。 外边界基本上平行于内边界。 该方法还包括使用对于每个内边界和外边界的对象像素来计算对象中的至少一个和对象之间的空间的长度。 使用计算的长度,该方法包括确定停车区域中的停车可用性。 该方法包括向用户输出停车可用性的通知。

    Method for object size calibration to aid vehicle detection for video-based on-street parking technology
    2.
    发明授权
    Method for object size calibration to aid vehicle detection for video-based on-street parking technology 有权
    用于物体大小校准的方法,用于辅助基于视频的路边停车技术的车辆检测

    公开(公告)号:US09449236B2

    公开(公告)日:2016-09-20

    申请号:US14070812

    申请日:2013-11-04

    CPC classification number: G06K9/00812 G06K9/00771 G08G1/141 G08G1/168

    Abstract: A method for determining parking availability includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method includes detecting at least one object located in the parking area. The method includes determining boundaries of the parking area. The boundaries include at least an inner boundary relative to the image capture device and an outer boundary relative to the image capture device. The outer boundary is substantially parallel to the inner boundary. The method further includes computing a length of at least one of the object and a space between objects using an object pixel for each of the inner and outer boundaries. Using the computed length, The method includes determining a parking availability in the parking area. The method includes outputting a notice of the parking availability to a user.

    Abstract translation: 用于确定停车可用性的方法包括从监视停车区域的图像捕获装置中取出的帧序列中接收视频数据。 该方法包括检测位于停车区域中的至少一个物体。 该方法包括确定停车区域的边界。 边界至少包括相对于图像捕获装置的内边界和相对于图像捕获装置的外边界。 外边界基本上平行于内边界。 该方法还包括使用对于每个内边界和外边界的对象像素来计算对象中的至少一个和对象之间的空间的长度。 使用计算的长度,该方法包括确定停车区域中的停车可用性。 该方法包括向用户输出停车可用性的通知。

    Compensating for motion during real-time batch processing of video for physiological function assessment
    3.
    发明授权
    Compensating for motion during real-time batch processing of video for physiological function assessment 有权
    补充视频实时批处理中的运动,进行生理功能评估

    公开(公告)号:US09483837B2

    公开(公告)日:2016-11-01

    申请号:US14211455

    申请日:2014-03-14

    Abstract: What is disclosed is a system and method for compensating for motion during processing of a video of a subject being monitored for physiological function assessment. In one embodiment, image frames are received. Successive batches of N video frames are processed to isolate pixels associated with a body region of the subject where a physiological signal is registered by the camera. The pixels are processed to obtain a time-series signal for each batch. A determination is made whether movement during video acquisition of this batch of image frames exceeds a threshold level. If so then a size N of the next batch of image frames is changed to: N=N+M1, where N+M1≦Nmax. Otherwise, a size N of a next batch is changed to: N=N−M2, where N−M2≧Nmin. Thereafter, processing repeats in a real-time continuous manner as the next batch of the N image frames is received. Various embodiments are disclosed.

    Abstract translation: 所公开的是用于在处理被监视的受试者的视频的处理期间补偿运动以进行生理功能评估的系统和方法。 在一个实施例中,接收图像帧。 处理N个视频帧的连续批次以分离与由摄像机登记生理信号的被摄体的身体区域相关联的像素。 处理像素以获得每个批次的时间序列信号。 确定在该批次的图像帧的视频采集期间的移动是否超过阈值水平。 如果是,则下一批图像帧的大小N被改变为:N = N + M1,其中N +M1≤Nmax。 否则,下一批次的大小N变为:N = N-M2,其中N-M2≥Nmin。 此后,当接收到下一批N个图像帧时,处理以实时连续的方式重复。 公开了各种实施例。

    VISION-BASED ON-STREET PARKED VEHICLE DETECTION VIA NORMALIZED-VIEW CLASSIFIERS AND TEMPORAL FILTERING
    4.
    发明申请
    VISION-BASED ON-STREET PARKED VEHICLE DETECTION VIA NORMALIZED-VIEW CLASSIFIERS AND TEMPORAL FILTERING 审中-公开
    基于视觉的道路停车检测通过正则化视图分类器和时间滤波

    公开(公告)号:US20160093214A1

    公开(公告)日:2016-03-31

    申请号:US14502045

    申请日:2014-09-30

    CPC classification number: G06K9/00812 G08G1/147

    Abstract: A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier—previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space—and determine the occupancy of the current parking area using an output of the classifier.

    Abstract translation: 用于估计停车占用的系统包括车辆检测装置,其包括支撑选择高度的图像捕获装置的可调节桅杆。 图像捕获装置获取当前停车区域的视频。 与图像捕获设备通信的计算机处理器被配置为接收视频数据并且定义视频数据中的感兴趣区域。 处理器还被配置为在ROI上执行空间变换以将ROI转换为归一化的几何空间。 处理器还被配置为将归一化几何空间中检测到的物体的特征应用于先前使用从标准化的几何空间类似的归一化相机视角获取的样本进行训练的车辆分类器,并且使用以下方式确定当前停车区的占用 分类器的输出。

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