USER RECOGNITION METHOD AND DEVICE
    9.
    发明申请
    USER RECOGNITION METHOD AND DEVICE 审中-公开
    用户识别方法和设备

    公开(公告)号:US20160350610A1

    公开(公告)日:2016-12-01

    申请号:US15234457

    申请日:2016-08-11

    Abstract: A user recognition method includes extracting a user feature of a current user from input data, estimating an identifier of the current user based on the extracted user feature, and generating the identifier of the current user in response to an absence of an identifier corresponding to the current user and controlling an updating of user data based on the generated identifier and the extracted user feature.

    Abstract translation: 用户识别方法包括从输入数据提取当前用户的用户特征,基于所提取的用户特征估计当前用户的标识符,以及响应于不存在对应于所述用户特征的标识符,生成当前用户的标识符 基于生成的标识符和所提取的用户特征来控制用户数据的更新。

    METHOD OF GENERATING FEATURE VECTOR, GENERATING HISTOGRAM, AND LEARNING CLASSIFIER FOR RECOGNITION OF BEHAVIOR
    10.
    发明申请
    METHOD OF GENERATING FEATURE VECTOR, GENERATING HISTOGRAM, AND LEARNING CLASSIFIER FOR RECOGNITION OF BEHAVIOR 有权
    产生特征向量,产生组织学习方法和学习识别行为的分类器

    公开(公告)号:US20150206026A1

    公开(公告)日:2015-07-23

    申请号:US14562948

    申请日:2014-12-08

    CPC classification number: G06K9/4642 G06K9/00335 G06K9/4604

    Abstract: Example embodiments disclose a method of generating a feature vector, a method of generating a histogram, a learning unit classifier, a recognition apparatus, and a detection apparatus, in which a feature point is detected from an input image based on a dominant direction analysis of a gradient distribution, and a feature vector corresponding to the detected feature point is generated.

    Abstract translation: 示例性实施例公开了一种生成特征向量的方法,生成直方图的方法,学习单元分类器,识别装置和检测装置,其中基于主导方向分析从输入图像检测特征点 生成与检测出的特征点对应的梯度分布和特征向量。

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