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    • 1. 发明申请
    • TECHNOLOGIES FOR DYNAMIC NETWORK ANALYSIS AND PROVISIONING
    • 动态网络分析与提供技术
    • US20160285704A1
    • 2016-09-29
    • US14671326
    • 2015-03-27
    • Iosif GasparakisMichael Kounavis
    • Iosif GasparakisMichael Kounavis
    • H04L12/26
    • H04L41/142H04L43/08
    • Technologies for performing network analysis of a network include a network analytics node to determine one or more features of network traffic of the network. Each feature includes indexes associated with a link property, a protocol, and a time property. The network analytics node monitors the network traffic of the network based on the one or more features and generates one or more observation vectors. Each observation vector includes a plurality of the one or more features based on the monitored network traffic. The network analytics node performs a statistical network analysis of the network traffic based on the generated one or more observation vectors to generate a probabilistic model of the network traffic.
    • 用于执行网络的网络分析的技术包括网络分析节点以确定网络的网络流量的一个或多个特征。 每个功能包括与链接属性,协议和时间属性相关联的索引。 网络分析节点基于一个或多个特征监视网络的网络流量,并且生成一个或多个观察向量。 每个观测向量包括基于所监视的网络业务的多个一个或多个特征。 网络分析节点基于所生成的一个或多个观测向量对网络流量进行统计网络分析,以生成网络流量的概率模型。
    • 9. 发明申请
    • MULTI-LAYER SKIN DETECTION AND FUSED HAND POSE MATCHING
    • 多层皮肤检测和融合手掌匹配
    • US20160283784A1
    • 2016-09-29
    • US14667340
    • 2015-03-24
    • Michael KounavisAaron Debattista
    • Michael KounavisAaron Debattista
    • G06K9/00G06T7/00G06K9/62
    • G06K9/00355G06K9/00382G06K9/4652G06K9/6201G06K9/6218G06K9/6267G06K9/6269G06T7/11G06T7/70G06T2207/10004
    • Embodiments of a system and methods for skin detection and pose determination of a hand in an image are generally described herein. A method for may include detecting skin pixels in an image using a multi-layer skin filter and classifying the skin pixels into a set of foreground skin pixels and a set of background skin pixels. The method may include storing information about the set of background skin pixels in a persistent memory. The method may include determining a set of features from the set of foreground skin pixels, and clustering features from the set of features to create a set of hand pose descriptors. The method may include determining a set of candidate hand pose region descriptors and a set of candidate hand pose contour descriptors that match the set of hand pose descriptors and detecting a valid hand pose using the sets of candidate descriptors.
    • 这里一般地描述用于皮肤检测和姿势确定图像中的手的系统和方法的实施例。 可以使用多层皮肤滤波器来检测图像中的皮肤像素并将皮肤像素分类成一组前景皮肤像素和一组背景皮肤像素的方法。 该方法可以包括将关于该组背景皮肤像素的信息存储在持久存储器中。 该方法可以包括从该组前景皮肤像素确定一组特征,以及从该组特征聚集特征以创建一组手姿势描述符。 该方法可以包括确定一组候选手姿态区域描​​述符和一组候选手姿势轮廓描述符,其与手势姿态描述符组匹配并且使用候选描述符集来检测有效手势。
    • 10. 发明申请
    • RELIABLE FINGERTIP AND PALM DETECTION
    • 可靠指纹和棕榈检测
    • US20160283768A1
    • 2016-09-29
    • US14667393
    • 2015-03-24
    • Michael Kounavis
    • Michael Kounavis
    • G06K9/00G06K9/62
    • G06K9/00006G06K9/00389G06K9/6202G06K9/6215G06K9/6255
    • Embodiments of a system and method for detecting a palm of a hand using an image are generally described herein. A method for detecting a palm of a hand may include determining a plurality of cumulative distance values from pixels in a set of image pixels to pixels in a plurality of finger template matches, wherein the set of image pixels includes a set of image pixels on detected edges in the image. The method may include selecting a set of finger template matches from the plurality of finger template matches, corresponding to a set of smallest cumulative distance values from the plurality of cumulative distance values. The method may include refining the set of finger template matches to create refined finger templates, bundling refined finger templates to create a bundle of refined finger templates, and verifying that the bundle of refined finger templates includes a valid palm detection.
    • 这里通常描述使用图像检测手掌的系统和方法的实施例。 用于检测手掌的方法可以包括从多个手指模板匹配中的图像像素组中的像素到像素确定多个累积距离值,其中该组图像像素包括检测到的一组图像像素 图像中的边缘。 该方法可以包括从多个手指模板匹配中选择一组手指模板匹配,对应于来自多个累积距离值的一组最小累积距离值。 该方法可以包括改进一组手指模板匹配以创建精细的手指模板,捆绑精细的手指模板以创建精确的手指模板的束,以及验证精细手指模板的束包括有效手掌检测。