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    • 13. 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。
    • 15. 发明申请
    • System and Method for Selectively Activating Biometric Sensors
    • 选择性激活生物识别传感器的系统和方法
    • US20080122577A1
    • 2008-05-29
    • US10556247
    • 2004-05-06
    • Srinivas GuttaVasanth PhilominMiroslav Trajkovic
    • Srinivas GuttaVasanth PhilominMiroslav Trajkovic
    • G06F7/04
    • G07C9/00158G06F21/32G07C9/00166
    • A system and method is provided for selectively activating biometric sensors (102, 104, 106) to authenticate the identity of an individual while conserving system resources. A biometric system has at least two tiers of sensors, first (102) and second tier sensors (104, 106), where the first tier sensors (102) are characteristically less sophisticated and less expensive to operate than the second tier sensors (104, 106). One or more of the second tier sensors (104, 106) are activated only after a user's biometric is successfully or unsuccessfully verified by one of the first tier sensors (102). Alternatively, the second tier sensors (104, 106) are activated in response to a user requesting a particular level of service or in response to an environmental condition. Alternatively, only those sensors are turned on which are compatible with a user's biometric profile.
    • 提供了一种系统和方法,用于选择性地激活生物测定传感器(102,104,106)以在保护系统资源的同时认证个体的身份。 生物测定系统具有至少两层的传感器,第一层(102)和第二层传感器(104,106),其中第一层传感器(102)的性能不如第二层传感器(104,106)要复杂且成本低, 106)。 在第一层传感器(102)之一成功或不成功地验证用户的生物特征之后,仅激活第二层传感器(104,106)中的一个或多个。 或者,第二层传感器(104,106)响应于用户请求特定服务水平或响应于环境条件而被激活。 或者,仅打开与用户的生物特征相​​容的传感器。
    • 18. 发明授权
    • Face recognition using evolutionary algorithms
    • 使用进化算法进行人脸识别
    • US07139738B2
    • 2006-11-21
    • US10183691
    • 2002-06-27
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • G06F151/18
    • G06K9/00288
    • A system and method wherein the parameters used for face recognition are determined via an evolutionary algorithm, such as a genetic algorithm. Candidate sets of parameters are evaluated for face recognition performance in a given environment. The most effective sets of parameters are used to generate offspring sets of parameters, and these offspring sets are subsequently evaluated for face recognition performance. This process is repeated, with each generation of offspring sets inheriting attributes of the most successful sets, until the system converges on a set of parameters that exhibits superior performance for the given environment. In like manner, other sets of parameters are determined for other environments. When the face recognition system is deployed, the appropriate set of parameters is used, dependent upon the environment in which the target images originate. In this manner, the system exhibits superior performance in each of the environments in which it is deployed.
    • 一种系统和方法,其中用于面部识别的参数通过诸如遗传算法的进化算法来确定。 在给定的环境中评估候选参数集的面部识别性能。 最有效的参数集用于生成参数的后代集合,随后对这些后代集进行面部识别性能的评估。 这个过程被重复,每一代后代集继承了最成功的集合的属性,直到系统收敛于对给定环境表现出优异性能的一组参数。 以类似的方式,为其他环境确定其他参数集。 当部署脸部识别系统时,根据目标图像产生的环境,使用适当的参数集合。 以这种方式,该系统在其部署的每个环境中表现出优异的性能。