Human identity verification via automated analysis of facial action coding system features
    2.
    发明授权
    Human identity verification via automated analysis of facial action coding system features 有权
    通过脸部动作编码系统功能的自动分析进行人体身份验证

    公开(公告)号:US09594949B1

    公开(公告)日:2017-03-14

    申请号:US14840745

    申请日:2015-08-31

    CPC classification number: G06K9/00315 G06K9/00758 G06K9/623

    Abstract: A method, computer readable medium and apparatus for verifying an identity of an individual based upon facial expressions as exhibited in a query video of the individual are disclosed. The method includes receiving a reference video for each one of a plurality of different individuals, wherein a plurality of facial gesture encoders is extracted from at least one frame of the reference video describing one or more facial expressions of each one of the plurality of different individuals, receiving the query video, calculating a similarity score for the reference video for the each one of the plurality of different individuals based on an analysis that compares the plurality of facial gesture encoders of the at least one frame of the reference video for the each one of the plurality of different individuals to a plurality of facial gesture encoders extracted from at least one frame of the query video.

    Abstract translation: 公开了一种基于个人的查询视频中显示的基于面部表情来验证个人身份的方法,计算机可读介质和装置。 该方法包括接收多个不同个体中的每一个的参考视频,其中从描述多个不同个体中的每一个的一个或多个面部表情的参考视频的至少一个帧中提取多个面部手势编码器 接收查询视频,基于比较每个参考视频的至少一帧的多个面部手势编码器的分析,计算多个不同个体中的每个个体的参考视频的相似性得分 将所述多个不同个体的多个人脸手势编码器从所述查询视频的至少一个帧中提取出来。

    Heuristic-based approach for automatic payment gesture classification and detection
    3.
    发明授权
    Heuristic-based approach for automatic payment gesture classification and detection 有权
    用于自动支付手势分类和检测的基于启发式的方法

    公开(公告)号:US09165194B2

    公开(公告)日:2015-10-20

    申请号:US13964652

    申请日:2013-08-12

    Abstract: A system and method for automatic classification and detection of a payment gesture are disclosed. The method includes obtaining a video stream from a camera placed above at least one region of interest, the region of interest classifying the payment gesture. A background image is generated from the obtained video stream. Motion is estimated in at least two consecutive frames from the video stream. A representation is created from the background image and the estimated motion occurring within the at least one region of interest. The payment gesture is detected based on the representation.

    Abstract translation: 公开了一种用于自动分类和检测支付手势的系统和方法。 该方法包括从放置在至少一个感兴趣区域上的相机获取视频流,该感兴趣区域对支付手势进行分类。 从获得的视频流生成背景图像。 从视频流中至少连续两帧估计运动。 从背景图像和在所述至少一个感兴趣区域内发生的估计运动创建表示。 基于表示检测支付手势。

    HUMAN IDENTITY VERIFICATION VIA AUTOMATED ANALYSIS OF FACIAL ACTION CODING SYSTEM FEATURES
    5.
    发明申请
    HUMAN IDENTITY VERIFICATION VIA AUTOMATED ANALYSIS OF FACIAL ACTION CODING SYSTEM FEATURES 有权
    人脸识别系统特征自动分析

    公开(公告)号:US20170061202A1

    公开(公告)日:2017-03-02

    申请号:US14840745

    申请日:2015-08-31

    CPC classification number: G06K9/00315 G06K9/00758 G06K9/623

    Abstract: A method, computer readable medium and apparatus for verifying an identity of an individual based upon facial expressions as exhibited in a query video of the individual are disclosed. The method includes receiving a reference video for each one of a plurality of different individuals, wherein a plurality of facial gesture encoders is extracted from at least one frame of the reference video describing one or more facial expressions of each one of the plurality of different individuals, receiving the query video, calculating a similarity score for the reference video for the each one of the plurality of different individuals based on an analysis that compares the plurality of facial gesture encoders of the at least one frame of the reference video for the each one of the plurality of different individuals to a plurality of facial gesture encoders extracted from at least one frame of the query video.

    Abstract translation: 公开了一种基于个人的查询视频中显示的基于面部表情来验证个人身份的方法,计算机可读介质和装置。 该方法包括接收多个不同个体中的每一个的参考视频,其中从描述多个不同个体中的每一个的一个或多个面部表情的参考视频的至少一个帧中提取多个面部手势编码器 接收查询视频,基于比较每个参考视频的至少一帧的多个面部手势编码器的分析,计算多个不同个体中的每个个体的参考视频的相似性得分 将所述多个不同个体的多个人脸手势编码器从所述查询视频的至少一个帧中提取出来。

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