Video-based method for detecting parking boundary violations
    2.
    发明授权
    Video-based method for detecting parking boundary violations 有权
    用于检测停车边界违规的基于视频的方法

    公开(公告)号:US08744132B2

    公开(公告)日:2014-06-03

    申请号:US13461266

    申请日:2012-05-01

    CPC classification number: G06K9/00771

    Abstract: A method and a system for determining a parking boundary violation includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area including at least a single parking space. A boundary is determined for defining at least one parking space in the parking area. A vehicle is detected in the parking area. A determination is made whether the detected vehicle is violating a parking regulation based on a position and size of the vehicle within the boundary.

    Abstract translation: 用于确定停车边界违规的方法和系统包括从监视包括至少一个停车位的停车区域的图像捕获设备接收的帧序列中接收视频数据。 确定用于在停车区域中定义至少一个停车位的边界。 在停车区域内检测到车辆。 基于边界内的车辆的位置和大小来确定检测到的车辆是否违反停车规则。

    Method for encoding and decoding data in a color barcode pattern
    3.
    发明授权
    Method for encoding and decoding data in a color barcode pattern 有权
    用于对彩色条形码图案中的数据进行编码和解码的方法

    公开(公告)号:US08100330B2

    公开(公告)日:2012-01-24

    申请号:US12436456

    申请日:2009-05-06

    CPC classification number: G06K7/10 G06K19/06028

    Abstract: What is disclosed is a system and method for encoding and decoding data in a color barcode pattern using dot orientation and color separability. The spectral (wavelength) characteristics of the CMY colorants, commonly used in digital printing, and those of RGB sensors are exploited to achieve high capacity data embedding rates in color barcodes. The present method embeds independent data in two different printer colorant channels using dot orientation modulation. In the print end, dots of two colorants occupy the same spatial region. At the detector end, by using the complementary sensor channels to estimate the colorant channels, data is recovered in each colorant channel. The method approximately doubles the capacity of encoding methods based upon a single colorant channel and enables embedding rates which match or exceed that of other hardcopy barcodes known in the arts. The method is robust against inter-separation misregistration with a small symbol error rate.

    Abstract translation: 公开的是使用点取向和颜色分离来对彩色条形码图案中的数据进行编码和解码的系统和方法。 通常用于数字印刷的CMY着色剂和RGB传感器的光谱(波长)特性被利用来实现彩色条形码中的高容量数据嵌入率。 本方法使用点取向调制将独立数据嵌入两种不同的打印机着色剂通道。 在打印端,两个着色剂的点占据相同的空间区域。 在检测器端,通过使用互补传感器通道来估计着色剂通道,数据在每个着色剂通道中被回收。 该方法基于单个着色剂通道使编码方法的容量大大增加一倍,并且使嵌入速率匹配或超过本领域已知的其它硬拷贝条形码的嵌入速率。 该方法对于具有小的符号错误率的分离间对位失调是鲁棒的。

    METHOD FOR ENCODING AND DECODING DATA IN A COLOR BARCODE PATTERN

    公开(公告)号:US20100282856A1

    公开(公告)日:2010-11-11

    申请号:US12436432

    申请日:2009-05-06

    CPC classification number: G06K7/00 G06K7/14 G06K19/06037

    Abstract: What is disclosed is a system and method for encoding and decoding data in a color barcode pattern using dot orientation and color separability. The spectral (wavelength) characteristics of the CMY colorants, commonly used in digital printing, and those of RGB sensors are exploited to achieve high capacity data embedding rates in color barcodes. The present method embeds independent data in two different printer colorant channels using dot orientation modulation. In the print end, dots of two colorants occupy the same spatial region. At the detector end, by using the complementary sensor channels to estimate the colorant channels, data is recovered in each colorant channel. The method approximately doubles the capacity of encoding methods based upon a single colorant channel and enables embedding rates which match or exceed that of other hardcopy barcodes known in the arts. The method is robust against inter-separation misregistration with a small symbol error rate.

    METHOD FOR ENCODING AND DECODING DATA IN A COLOR BARCODE PATTERN
    7.
    发明申请
    METHOD FOR ENCODING AND DECODING DATA IN A COLOR BARCODE PATTERN 有权
    用于在彩色条形图案中编码和解码数据的方法

    公开(公告)号:US20100282851A1

    公开(公告)日:2010-11-11

    申请号:US12436456

    申请日:2009-05-06

    CPC classification number: G06K7/10 G06K19/06028

    Abstract: What is disclosed is a system and method for encoding and decoding data in a color barcode pattern using dot orientation and color separability. The spectral (wavelength) characteristics of the CMY colorants, commonly used in digital printing, and those of RGB sensors are exploited to achieve high capacity data embedding rates in color barcodes. The present method embeds independent data in two different printer colorant channels using dot orientation modulation. In the print end, dots of two colorants occupy the same spatial region. At the detector end, by using the complementary sensor channels to estimate the colorant channels, data is recovered in each colorant channel. The method approximately doubles the capacity of encoding methods based upon a single colorant channel and enables embedding rates which match or exceed that of other hardcopy barcodes known in the arts. The method is robust against inter-separation misregistration with a small symbol error rate.

    Abstract translation: 公开的是使用点取向和颜色分离来对彩色条形码图案中的数据进行编码和解码的系统和方法。 通常用于数字印刷的CMY着色剂和RGB传感器的光谱(波长)特性被利用来实现彩色条形码中的高容量数据嵌入率。 本方法使用点取向调制将独立数据嵌入两种不同的打印机着色剂通道。 在打印端,两个着色剂的点占据相同的空间区域。 在检测器端,通过使用互补传感器通道来估计着色剂通道,数据在每个着色剂通道中被恢复。 该方法基于单个着色剂通道使编码方法的容量大大增加一倍,并且使嵌入速率匹配或超过本领域已知的其它硬拷贝条形码的嵌入速率。 该方法对于具有小的符号错误率的分离间对位失调是鲁棒的。

    Video-based vehicle speed estimation from motion vectors in video streams
    9.
    发明授权
    Video-based vehicle speed estimation from motion vectors in video streams 有权
    视频流中运动矢量的基于视频的车速估计

    公开(公告)号:US09582722B2

    公开(公告)日:2017-02-28

    申请号:US13600742

    申请日:2012-08-31

    CPC classification number: G06K9/00785 H04N7/18

    Abstract: Automated low-complexity video-based vehicle speed estimation is described, that operates within the video stream to screen video sequences to identify and eliminate clear non-violators and/or identify and select potential violators within a multi-layer speed enforcement system, in which deeper layers provide enhanced accuracy on selected candidate (speeding) vehicles. Video motion vector clusters corresponding to a vehicle are identified and tracked across multiple frames of captured video. Movement of the motion vector clusters translated from pixels per second to real speed (e.g. miles per hour) to determine whether the vehicle was speeding. Estimated speed data is added to the video stream data is metadata, and video segments of candidate speeding vehicles are stored and/or transmitted for subsequent review (e.g. automated or manual).

    Abstract translation: 描述了自动低复杂度视频车辆速度估计,其在视频流内操作以屏幕视频序列以识别和消除明确的非违规者和/或识别和选择多层速度执行系统中的潜在违规者,其中 更深层次的选择候选(超速)车辆的精度提高。 对应于车辆的视频运动矢量簇在捕获的视频的多个帧上被识别和跟踪。 将运动矢量簇的运动从每秒的像素转换为实际速度(例如,每小时英里),以确定车辆是否正在超速。 估计的速度数据被添加到视频流数据是元数据,并且候选超速车辆的视频段被存储和/或发送用于随后的审查(例如自动或手动)。

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