System and method for automatic person counting and detection of specific events
    5.
    发明授权
    System and method for automatic person counting and detection of specific events 有权
    自动人员计数和特定事件检测的系统和方法

    公开(公告)号:US07596241B2

    公开(公告)日:2009-09-29

    申请号:US11290672

    申请日:2005-11-30

    IPC分类号: G06K9/00 G06K9/38

    CPC分类号: G06K9/00778

    摘要: A system for detecting and counting individuals in a stationary or moving crowd based on a digital or digitized image captured from a single camera. Initial information is assumed based on a foot-to-head plane homology, where a geometric construct is developed to best enclose image features with a high probability of being an individual within a crowd. These geometric constructs are then subjected to further probabilistic analysis to determine individuals. The vector track of each individual is determined to validate the determination of a group of features as individuals, thereby compensating for occlusion of an individual within any given frame image. A virtual gate is then employed to count the individuals moving past the virtual gate. Also, by weighting portions of the individual, events near the gate can be predicted.

    摘要翻译: 一种用于基于从单个摄像机捕获的数字或数字化图像来检测和计数静止或移动人群中的个体的系统。 假定初始信息是基于一个平头同位性,其中开发几何构造以最好地围绕人群中个体的概率最大地包围图像特征。 然后对这些几何构造进行进一步的概率分析以确定个体。 确定每个个体的矢量轨迹以验证作为个体的一组特征的确定,从而补偿任何给定帧图像内的个体的遮挡。 然后使用虚拟门来对移动通过虚拟门的个人进行计数。 此外,通过加权个体的部分,可以预测门附近的事件。

    Method and system for crowd segmentation
    6.
    发明申请
    Method and system for crowd segmentation 有权
    人群分割的方法和系统

    公开(公告)号:US20090310862A1

    公开(公告)日:2009-12-17

    申请号:US12457543

    申请日:2009-06-15

    IPC分类号: G06K9/34

    CPC分类号: G06K9/00778

    摘要: Aspects of the disclosure provide a method for crowd segmentation that can globally optimize crowd segmentation of an input image based on local information of the input image. The method can include receiving an input image of a site, initializing a plurality of hypothesis based on the input image, dividing the input image into a plurality of patches, calculating an affinity measure of one or more patches to a hypothesis based on a partial response of the patches to a whole body classifier of the hypothesis that includes a combination of weak classifiers, and optimizing assignments of the plurality of patches to the plurality of hypothesis based on the affinity measures of the plurality of patches to the plurality of hypothesis.

    摘要翻译: 本公开的方面提供了一种用于人群分割的方法,其可以基于输入图像的本地信息全局地优化输入图像的群体分割。 该方法可以包括接收站点的输入图像,基于输入图像初始化多个假设,将输入图像划分成多个补丁,基于部分响应计算假设的一个或多个补丁的亲和度量 所述补丁包括所述假定的全身分类器,所述假设包括弱分类器的组合,以及基于所述多个假设的所述多个贴片的亲和度测量,将所述多个贴片的分配优化为所述多个假设。