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    • 12. 发明授权
    • Combined laser/radar-video speed violation detector for law enforcement
    • 组合激光/雷达视频速度检测器,用于执法
    • US06696978B2
    • 2004-02-24
    • US09879699
    • 2001-06-12
    • Miroslav TrajkovicSrinivas GuttaAntonio J. Colmenarez
    • Miroslav TrajkovicSrinivas GuttaAntonio J. Colmenarez
    • G08G101
    • G08G1/0175G01S13/92
    • A device for identifying vehicles traveling in excess of a predetermined speed. The device including: speed measurement detector for measuring the speed of a target vehicle and outputting a signal indicative of the measured speed; a camera operatively connected to the speed measurement detector for capturing image data of a license plate affixed to the target vehicle when the target vehicle exceeds the predetermined speed; and a device for tagging the captured image data with the signal indicative of the measured speed of the target vehicle. The device can further have a recognition system for recognizing the license plate of the target vehicle which controls the camera to provide an enhanced view of the license plate. The device can also have classification and color identification systems for identifying a type and color of the target vehicle. The type and color information can also be tagged to the image data.
    • 用于识别超过预定速度行驶的车辆的装置。 该装置包括:速度测量检测器,用于测量目标车辆的速度并输出指示测量速度的信号; 当所述目标车辆超过所述预定速度时,相机可操作地连接到所述速度测量检测器,用于捕获固定到所述目标车辆的车牌的图像数据; 以及用于使用指示目标车辆的测量速度的信号来标记所捕获的图像数据的装置。 该装置还可以具有用于识别目标车辆的牌照的识别系统,该车牌控制相机以提供牌照的增强视图。 该装置还可以具有用于识别目标车辆的类型和颜色的分类和颜色识别系统。 类型和颜色信息也可以被标记到图像数据。
    • 16. 发明授权
    • Acoustic based pointing device
    • 声学指向装置
    • US07158126B2
    • 2007-01-02
    • US10117851
    • 2002-04-08
    • Miroslav TrajkovicAntonio ColmenarezSrinivas Gutta
    • Miroslav TrajkovicAntonio ColmenarezSrinivas Gutta
    • G09G5/00
    • G06F3/0433
    • An acoustic based pointing device and a system and method for using the pointing device to move a cursor on a display screen of a display device. The pointing device comprises an acoustic source that generates and propagates an acoustic signal that is detected by four microphones M1, M2, M3, and M4 and is then converted into corresponding periodic electrical signals S1, S2, S3, and S4. The position vector P0 of the acoustic source is calculated by solving triangulation equations that depend on phase-shift time delays between S1 and Sj for j=1, 2, and 3. A position vector PC is calculated from P0 using a scale vector that relates a change in position of the cursor to a change in position of the acoustic source. Then the cursor is moved to a position PC associated with the position vector PC.
    • 一种基于声学的指示设备,以及使用指示设备在显示设备的显示屏幕上移动光标的系统和方法。 指向装置包括产生和传播由四个麦克风M 1,M 2,M 3 3检测到的声信号的声源, 和M 4,然后转换成对应的周期性电信号S 1,S 2,S 3,和 S 4。 声源的位置矢量 P 0 通过求解三角测量方程来计算,该方程式取决于S 1和S 2之间的相移时间延迟 j = 1,2和3.的位置向量 P P 使用将光标的位置的改变与声源的位置的改变相关联的比例向量来<! - SIPO P SUB相关联的位置P
    • 18. 发明申请
    • Computer vision system and method employing illumination invariant neural networks
    • 计算机视觉系统和采用照明不变神经网络的方法
    • US20060013475A1
    • 2006-01-19
    • US10538206
    • 2003-12-08
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • G06K9/62
    • G06K9/6273
    • Objects are classified using a normalized cross correlation (NCC) measure to compare two images acquired under non-uniform illumination conditions. An input pattern is classified to assign a tentative classification label and value. The input pattern is assigned to an output node in the radial basis function network having the largest classification value. If the input pattern and an image associated with the node, referred to as a node image, both have uniform illumination, then the node image is accepted and the probability is set above a user specified threshold. If the test image or the node image are not uniform, then the node image is not accepted and the classification value is kept as the value assigned by the classifier. If both the test image and the node image are not uniform, then an NCC measure is used and the classification value is set as the NCC value.
    • 使用归一化互相关(NCC)测量对对象进行分类,以比较在不均匀照明条件下获取的两个图像。 输入模式被分类以分配暂定分类标签和值。 将输入模式分配给具有最大分类值的径向基函数网络中的输出节点。 如果输入模式和与节点相关联的图像(称为节点图像)都具有均匀的照明,则节点图像被接受,并且将概率设置在用户指定的阈值以上。 如果测试图像或节点图像不均匀,则不接受节点图像,并且将分类值保持为分类器分配的值。 如果测试图像和节点图像都不一致,则使用NCC测量,并将分类值设置为NCC值。