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    • 72. 发明授权
    • Image segmentation using hierarchical unsupervised segmentation and hierarchical classifiers
    • 使用分层无监督分割和分层分类器的图像分割
    • US08873812B2
    • 2014-10-28
    • US13567309
    • 2012-08-06
    • Diane Larlus-LarrondoRui HuCraig SaundersGabriela Csurka
    • Diane Larlus-LarrondoRui HuCraig SaundersGabriela Csurka
    • G06K9/00
    • G06K9/00G06T7/11G06T7/162G06T7/194G06T2207/20076
    • An image segmentation method includes generating a hierarchy of regions by unsupervised segmentation of an input image. Each region is described with a respective region feature vector representative of the region. Hierarchical structures are identified, each including a parent region and its respective child regions in the hierarchy. Each hierarchical structure is described with a respective hierarchical feature vector that is based on the region feature vectors of the respective parent and child regions. The hierarchical structures are classified according to a set of predefined classes with a hierarchical classifier component that is trained with hierarchical feature vectors of hierarchical structures of training images. The training images have semantic regions labeled according to the set of predefined classes. The input image is segmented into a plurality of semantic regions based on the classification of the hierarchical structures and optionally also on classification of the individual regions.
    • 图像分割方法包括通过输入图像的无监督分割来生成区域的层级。 用表示该区域的相应区域特征向量描述每个区域。 识别分层结构,每个结构包括层次结构中的父区域及其各自的子区域。 使用基于相应父子区域和子区域的区域特征向量的相应分层特征向量来描述每个分层结构。 层次结构根据一组具有层次分类器组件的预定义类别进行分类,该层级分类器组件用训练图像的层次结构的分层特征向量进行训练。 训练图像具有根据预定义类的集合标记的语义区域。 基于层次结构的分类,并且还可以根据各个区域的分类,将输入图像分割成多个语义区域。
    • 73. 发明授权
    • Occupancy detection for managed lane enforcement based on localization and classification of windshield images
    • 基于挡风玻璃图像的本地化和分类的管理车道执行的占用检测
    • US08824742B2
    • 2014-09-02
    • US13527228
    • 2012-06-19
    • Sandra SkaffBeilei XuPeter PaulCraig SaundersFlorent Perronnin
    • Sandra SkaffBeilei XuPeter PaulCraig SaundersFlorent Perronnin
    • G06K9/00G06K9/46G06K9/62
    • G06K9/00785G06K9/00832G06N99/005
    • A system for detecting a vehicle occupancy violation includes an image capture module that acquires an image including a vehicle cabin from a camera positioned to view oncoming traffic. The system includes a violation determination device, which includes a feature extraction module that processes the image pixels for determining an image descriptor. The process is selected from a group consisting of a Successive Mean Quantization Transform; a Scale-Invariant Feature Transform; a Histogram of Gradients; a Bag-of-Visual-Words Representation; a Fisher Vector Representation; and, a combination of the above. The system further includes a classifier that determines a distance that the vehicle image descriptor/representation is positioned in the projected feature space relative to a hyper-plane. The classifier determines whether the distance meets a threshold and classifies the image when the threshold is met. A processor implements the modules. A graphic user interface outputs the classification.
    • 用于检测车辆占用违规的系统包括图像捕获模块,其从定位成查看迎面而来的交通的相机获取包括车厢的图像。 该系统包括违规判定装置,其包括处理用于确定图像描述符的图像像素的特征提取模块。 该过程选自连续平均量化变换; 尺度不变特征变换; 梯度直方图; 一个视觉词汇表示; Fisher矢量表示法 以及上述的组合。 该系统还包括分类器,其确定车辆图像描述符/表示相对于超平面位于投影特征空间中的距离。 分类器确定距离是否满足阈值,并在满足阈值时对图像进行分类。 处理器实现模块。 图形用户界面输出分类。
    • 74. 发明申请
    • Occupancy detection for managed lane enforcement based on localization and classification of windshield images
    • 基于挡风玻璃图像的本地化和分类的管理车道执行的占用检测
    • US20130336538A1
    • 2013-12-19
    • US13527228
    • 2012-06-19
    • Sandra SkaffBeilei XuPeter PaulCraig SaundersFlorent Perronnin
    • Sandra SkaffBeilei XuPeter PaulCraig SaundersFlorent Perronnin
    • G06K9/62
    • G06K9/00785G06K9/00832G06N99/005
    • A system for detecting a vehicle occupancy violation includes an image capture module that acquires an image including a vehicle cabin from a camera positioned to view oncoming traffic. The system includes a violation determination device, which includes a feature extraction module that processes the image pixels for determining an image descriptor. The process is selected from a group consisting of a Successive Mean Quantization Transform; a Scale-Invariant Feature Transform; a Histogram of Gradients; a Bag-of-Visual-Words Representation; a Fisher Vector Representation; and, a combination of the above. The system further includes a classifier that determines a distance that the vehicle image descriptor/representation is positioned in the projected feature space relative to a hyper-plane. The classifier determines whether the distance meets a threshold and classifies the image when the threshold is met. A processor implements the modules. A graphic user interface outputs the classification.
    • 用于检测车辆占用违规的系统包括图像捕获模块,其从定位成查看迎面而来的交通的相机获取包括车厢的图像。 该系统包括违规判定装置,其包括处理用于确定图像描述符的图像像素的特征提取模块。 该过程选自连续平均量化变换; 尺度不变特征变换; 梯度直方图; 一个视觉词汇表示; Fisher矢量表示法 以及上述的组合。 该系统还包括分类器,其确定车辆图像描述符/表示相对于超平面位于投影特征空间中的距离。 分类器确定距离是否满足阈值,并在满足阈值时对图像进行分类。 处理器实现模块。 图形用户界面输出分类。
    • 75. 发明授权
    • Multiple sealed beverage vessels in a case
    • 多个密封饮料容器
    • US08328014B2
    • 2012-12-11
    • US13071117
    • 2011-03-24
    • Craig SaundersJohn Evan SpirkJeffrey KalmanJens P. Johnson
    • Craig SaundersJohn Evan SpirkJeffrey KalmanJens P. Johnson
    • B65D71/06
    • B65D21/00B65D77/0486B65D77/2024
    • A consumer packaged good includes a case, a plurality of translucent vessels vertically stacked within the case, a beverage stored in each of the plurality of the vessels and a barrier sealed to each vessel for containing the beverage in the respective vessel. The case includes a base wall and at least one side wall extending upwardly from the base wall. The plurality of translucent vessels are surrounded by the sidewall. Each vessel includes an opening for drinking from the vessel and a base surface for supporting the vessel on an associated support surface. The barrier seals to each vessel for covering the opening and containing the beverage in the respective vessel. The barrier is peelable from the vessel without destroying the vessel to provide access to the beverage stored in the vessel.
    • 消费品包装物包括壳体,垂直堆叠在壳体内的多个半透明容器,存储在多个容器中的每一个中的饮料和密封到每个容器的屏障,用于在相应的容器中容纳饮料。 壳体包括底壁和从底壁向上延伸的至少一个侧壁。 多个半透明容器被侧壁包围。 每个容器包括用于从容器中饮用的开口和用于将容器支撑在相关支撑表面上的基面。 每个容器的隔离物密封件用于覆盖开口并容纳相应容器中的饮料。 隔离层可以从容器剥离而不会破坏容器以提供存储在容器中的饮料。