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215 条记录 (耗时 0.034 秒)

    System and Method for Component Trust Model in Peer-to-Peer Service Composition
    22.
    发明申请
    System and Method for Component Trust Model in Peer-to-Peer Service Composition 审中-公开
    对等服务组合中组件信任模型的系统和方法

    公开(公告)号：US20110010533A1

    公开(公告)日：2011-01-13

    申请号：US11991498

    申请日：2006-09-12

    申请人： John Buford ,  Rakesh Kumar ,  Keith Ross ,  Gregory M. Perkins

    发明人： John Buford ,  Rakesh Kumar ,  Keith Ross ,  Gregory M. Perkins

    IPC分类号： G06F21/00 ,  H04L9/00

    CPC分类号： H04L63/12 ,  G06F9/468 ,  G06F21/50 ,  G06F21/54 ,  H04L63/0428 ,  H04L67/104

    摘要： A system is provided for composition trust binding in a peer-to-peer network environment. The system includes: a service requestor (21) residing on a peer (22) in the network and able to invoke a service (23) residing on another peer (24) in the network. The service requestor is also able to communicate a composition trust binding to the peer hosting the service, where the composition trust binding i a set of rules that define a collection of allowable software components which may be invoked by the service. A validation agent (25) ensures that the service executes in accordance with the binding.

    摘要翻译： 提供了一种用于对等网络环境中的组合信任绑定的系统。 该系统包括：驻留在网络中的对等体（22）上并能够调用驻留在网络中的另一对等体（24）上的服务（23）的服务请求者（21）。 服务请求者还能够将组合信任绑定到托管服务的对等体，其中组合信任绑定我定义可由服务调用的许可软件组件的集合的一组规则。 验证代理（25）确保服务根据绑定执行。

    VPLS N-PE REDUNDANCY USING PSEUDO WIRE FAST FAILOVER
    23.
    发明申请
    VPLS N-PE REDUNDANCY USING PSEUDO WIRE FAST FAILOVER 有权
    VPLS N-PE REDUNDANCY使用PSEUDO线快速故障

    公开(公告)号：US20090201831A1

    公开(公告)日：2009-08-13

    申请号：US12027725

    申请日：2008-02-07

    申请人： Rakesh Kumar ,  Jay Shah ,  Jason Xiaoguang Chen

    发明人： Rakesh Kumar ,  Jay Shah ,  Jason Xiaoguang Chen

    IPC分类号： H04L12/28

    CPC分类号： H04L45/22 ,  H04L43/0811 ,  H04L45/04 ,  H04L45/28 ,  H04L45/68

    摘要： In one example embodiment, a system and method is provided that includes establishing a plurality of Pseudo Wire (PW) connections between a first network appliance region and a second network appliance region to transmit data from the first network appliance region to the second network appliance region along an active PW. Further, the method includes disabling the active PW when a failure of the active PW is detected. Additionally, the method may include selecting an inactive PW to become a new active PW such that the data may be transmitted from the first network appliance region to the second network appliance region. Moreover, the method includes switching from the active PW to the new active PW.

    摘要翻译： 在一个示例实施例中，提供了一种系统和方法，其包括在第一网络设备区域和第二网络设备区域之间建立多条伪线（PW）连接，以将数据从第一网络设备区域传输到第二网络设备区域 沿着主动PW。 此外，该方法包括当检测到活动PW的故障时禁用活动PW。 此外，该方法可以包括选择不活动的PW以成为新的活动PW，使得数据可以从第一网络设备区域发送到第二网络设备区域。 此外，该方法包括从主动PW切换到新的主动PW。

    Moving Target Detection in the Presence of Parallax
    26.
    发明申请
    Moving Target Detection in the Presence of Parallax 有权
    在视差存在下移动目标检测

    公开(公告)号：US20080089556A1

    公开(公告)日：2008-04-17

    申请号：US11763559

    申请日：2007-06-15

    申请人： Garbis Salgian ,  Supun Samarasekera ,  Jiangjian Xiao ,  James Bergen ,  Rakesh Kumar ,  Feng Han

    发明人： Garbis Salgian ,  Supun Samarasekera ,  Jiangjian Xiao ,  James Bergen ,  Rakesh Kumar ,  Feng Han

    IPC分类号： G06K9/00

    CPC分类号： G06K9/3241 ,  G06K9/209 ,  G06T7/285 ,  G06T2207/10021 ,  G06T2207/30212 ,  G06T2207/30252

    摘要： A method for detecting a moving target is disclosed that receives a plurality of images from at least one camera; receives a measurement of scale from one of a measurement device and a second camera; calculates the pose of the at least one camera over time based on the plurality of images and the measurement of scale; selects a reference image and an inspection image from the plurality of images of the at least one camera; and detects a moving target from the reference image and the inspection image based on the orientation of corresponding portions in the reference image and the inspection image relative to a location of an epipolar direction common to the reference image and the inspection image; and displays any detected moving target on a display. The measurement of scale can derived from a second camera or, for example, a wheel odometer. The method can also detect moving targets by combining the above epipolar method with a method based on changes in depth between the inspection image and the reference image and based on changes in flow between the inspection image and the reference image.

    摘要翻译： 公开了一种用于检测移动目标的方法，其从至少一个相机接收多个图像; 从测量装置和第二相机中的一个接收刻度的测量; 基于多个图像和尺度的测量来计算随时间的至少一个相机的姿态; 从所述至少一个照相机的多个图像中选择参考图像和检查图像; 并且基于所述参考图像和所述检查图像中的对应部分相对于所述参考图像和所述检查图像共同的核极方向的位置的取向，从所述参考图像和所述检查图像中检测移动目标; 并在显示器上显示任何检测到的移动目标。 刻度的测量可以从第二相机或例如车轮里程表得到。 该方法还可以通过将上述对极方法与基于检查图像和参考图像之间的深度变化的方法并基于检查图像与参考图像之间的流动变化组合来检测移动目标。

    Flexible layer tracking with weak online appearance model
    28.
    发明申请
    Flexible layer tracking with weak online appearance model 有权
    柔性层跟踪与弱在线外观模型

    公开(公告)号：US20070086621A1

    公开(公告)日：2007-04-19

    申请号：US11250181

    申请日：2005-10-13

    申请人： Manoj Aggarwal ,  Harpreet Sawhney ,  Rakesh Kumar ,  Supun Samarasekera

    发明人： Manoj Aggarwal ,  Harpreet Sawhney ,  Rakesh Kumar ,  Supun Samarasekera

    IPC分类号： G06K9/00

    CPC分类号： G06K9/32 ,  G06K9/00369 ,  G06T7/251 ,  G06T7/277 ,  G06T2207/10016 ,  G06T2207/30196 ,  G06T2207/30232

    摘要： Method for tracking an object recorded within a selected frame of a sequence of frames of video data, using a plurality of layers, where at least one object layer of the plurality of layers represents the object includes initializing layer ownership probabilities for pixels of the selected frame using a non-parametric motion model, estimating a set of motion parameters of the plurality of layers for the selected frame using a parametric maximization algorithm and tracking the object. The non-parametric motion model is optical flow and includes warping the mixing probabilities, the appearances of the plurality of layers, and the observed pixel data from the pixels of the preceding frame to the pixels of the selected frame to initialize the layer ownership probabilities for the pixels of the selected frame.

    摘要翻译： 用于使用多个层来跟踪记录在视频数据帧序列的所选帧内的对象的方法，其中多个层中的至少一个对象层表示对象包括初始化所选帧的像素的层所有权概率 使用非参数运动模型，使用参数最大化算法估计所选择的帧的所述多个层的运动参数的集合并跟踪所述对象。 非参数运动模型是光流，包括混合概率，多层的出现以及从前一帧的像素到所选帧的像素的观察像素数据的变形，以初始化层所有权概率 所选帧的像素。