Human identity verification via automated analysis of facial action coding system features
    21.
    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。

    AUTOMATIC VIDEO SYNCHRONIZATION VIA ANALYSIS IN THE SPATIOTEMPORAL DOMAIN
    22.
    发明申请
    AUTOMATIC VIDEO SYNCHRONIZATION VIA ANALYSIS IN THE SPATIOTEMPORAL DOMAIN 有权
    通过在SPATIOTEMPORAL域中的分析自动视频同步

    公开(公告)号:US20160337555A1

    公开(公告)日:2016-11-17

    申请号:US14712263

    申请日:2015-05-14

    CPC classification number: H04N5/04 H04N5/23229 H04N5/247 H04N7/181

    Abstract: Methods and systems for automatically synchronizing videos acquired via two or more cameras with overlapping views in a multi-camera network. Reference lines within an overlapping field of view of the two (or more) cameras in the multi-camera network can be determined wherein the reference lines connect two or more pairs of corresponding points. Spatiotemporal maps of the reference lines can then be obtained. An optimal alignment between video segments obtained from the cameras is then determined based on the registration of the spatiotemporal maps.

    Abstract translation: 用于自动同步通过两个或多个摄像机获取的视频与多摄像机网络中的重叠视图的方法和系统。 可以确定多摄像机网络中的两个(或多个)照相机的重叠视野内的参考线,其中参考线连接两对或更多对对应点。 然后可以获得参考线的时空图。 然后基于时空映射的登记来确定从相机获得的视频片段之间的最佳对准。

    SYSTEM AND METHOD FOR VIDEO-BASED DETECTION OF DRIVE-AROUNDS IN A RETAIL SETTING
    24.
    发明申请
    SYSTEM AND METHOD FOR VIDEO-BASED DETECTION OF DRIVE-AROUNDS IN A RETAIL SETTING 有权
    用于零售设备中基于视频检测驱动器的系统和方法

    公开(公告)号:US20150310459A1

    公开(公告)日:2015-10-29

    申请号:US14280863

    申请日:2014-05-19

    CPC classification number: G06Q30/0201

    Abstract: A system and method for detection of drive-arounds in a retail setting. An embodiment includes acquiring images of a retail establishment, analyzing the images to detect entry of a customer onto the premises of the retail establishment, tracking a detected customer's location as the customer traverses the premises of the retail establishment, analyzing the images to detect exit of the detected customer from the premises of the retail establishment, and generating a drive-around notification if the customer does not enter a prescribed area or remain on the premises of the retail location for at least a prescribed minimum period of time.

    Abstract translation: 用于在零售环境中检测驱动器的系统和方法。 一个实施例包括获取零售店的图像,分析图像以检测客户进入零售店的房屋,在客户穿过零售店的房屋时跟踪检测到的客户的位置,分析图像以检测出 检测到的客户从零售店的房屋,并且如果客户不进入规定区域或者在零售地点的房屋内停留至少规定的最短时间段,则产生驱动通知。

    SYSTEM AND METHOD FOR VIDEO-BASED DETECTION OF GOODS RECEIVED EVENT IN A VEHICULAR DRIVE-THRU
    25.
    发明申请
    SYSTEM AND METHOD FOR VIDEO-BASED DETECTION OF GOODS RECEIVED EVENT IN A VEHICULAR DRIVE-THRU 审中-公开
    用于基于视觉检测的车辆接收事件的系统和方法

    公开(公告)号:US20150310365A1

    公开(公告)日:2015-10-29

    申请号:US14289683

    申请日:2014-05-29

    CPC classification number: G06Q10/0639 G06K9/00771 G06K9/3233 G06Q10/063

    Abstract: A system and method for detection of a goods-received event includes acquiring images of a retail location including a vehicular drive-thru, determining a region of interest within the images, the region of interest including at least a portion of a region in which goods are delivered to a customer, and analyzing the images using at least one computer vision technique to determine when goods are received by a customer. The analyzing includes identifying at least one item belonging to a class of items, the at least one item's presence in the region of interest being indicative of a goods-received event.

    Abstract translation: 用于检测商品接收事件的系统和方法包括获取零售位置的图像,所述图像包括车辆驱动通过,确定图像内的感兴趣区域,所述感兴趣区域包括货物的区域的至少一部分 交付给客户,并使用至少一种计算机视觉技术来分析图像,以确定货物何时被客户接收。 所述分析包括识别属于一类项目的至少一个项目,所述至少一个项目在所述感兴趣区域中的存在是指示商品接收事件。

    Method and system for detecting that an object of interest has re-entered a field of view of an imaging device

    公开(公告)号:US10408912B2

    公开(公告)日:2019-09-10

    申请号:US15933601

    申请日:2018-03-23

    Abstract: A mobile electronic device processes a sequence of images to identify and re-identify an object of interest in the sequence. An image sensor of the device, receives a sequence of images. The device detects an object in a first image as well as positional parameters of the device that correspond to the object in the first image. The device determines a range of positional parameters within which the object may appear in a field of view of the device. When the device detects that the object of interest exited the field of view it subsequently uses motion sensor data to determine that the object of interest has likely re-entered the field of view, it will analyze the current frame to confirm that the object of interest has re-entered the field of view.

    System and method for achieving computationally efficient motion estimation in video compression based on motion direction and magnitude prediction

    公开(公告)号:US09736493B2

    公开(公告)日:2017-08-15

    申请号:US14541550

    申请日:2014-11-14

    CPC classification number: H04N19/57

    Abstract: Block-based motion estimation of video compression estimates the direction and magnitude of motion of objects in the scene in a computationally efficient manner and accurately predicts the optimal search direction/neighborhood location for motion vectors. A system can include a motion detection module that detects apparent motion in the scene, a motion direction and magnitude prediction module that estimates the direction and magnitude of motion of the objects detected to be in motion by the motion detection module, and a block-based motion estimation module that performs searches in reduced neighborhoods of the target block according to the estimated motion by the motion direction and magnitude prediction module and only for the blocks determined to be in motion by the motion detection module. The Invention is particularly well suited for stationary traffic cameras that monitor roads and highways for traffic law enforcement purposes.

    HUMAN IDENTITY VERIFICATION VIA AUTOMATED ANALYSIS OF FACIAL ACTION CODING SYSTEM FEATURES
    29.
    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。

    Methods and systems for multimedia trajectory annotation
    30.
    发明授权
    Methods and systems for multimedia trajectory annotation 有权
    多媒体轨迹注释的方法和系统

    公开(公告)号:US09536152B2

    公开(公告)日:2017-01-03

    申请号:US13767658

    申请日:2013-02-14

    CPC classification number: G06K9/00771

    Abstract: A system and method of providing annotated trajectories by receiving image frames from a video camera and determining a location based on the image frames from the video camera. The system and method can further include the steps of determining that the location is associated with a preexisting annotation and displaying the preexisting annotation. Additionally or alternatively, the system and method can further include the steps of generating a new annotation automatically or based on a user input and associating the new annotation with the current location.

    Abstract translation: 一种通过从摄像机接收图像帧并基于来自摄像机的图像帧来确定位置来提供注释轨迹的系统和方法。 该系统和方法还可以包括以下步骤:确定位置与预先注释相关联并显示预先存在的注释。 附加地或替代地,系统和方法还可以包括以下步骤:自动地或基于用户输入生成新的注释并将新注释与当前位置相关联。

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