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    Multi-Stage Liveness Determination
    6.
    发明申请
    Multi-Stage Liveness Determination 有权
    多阶段活力测定

    公开(公告)号：US20160070967A1

    公开(公告)日：2016-03-10

    申请号：US14845149

    申请日：2015-09-03

    Applicant: QUALCOMM Incorporated

    Inventor： Eliza Yingzi Du ,  Ming Yu Chen ,  Esra Vural ,  Kwokleung Chan ,  David William Burns ,  Suryaprakash Ganti ,  John Keith Schneider ,  Saurav Bandyopadhyay ,  Jin Gu

    IPC: G06K9/00 ,  G06T7/40 ,  G06T7/00

    CPC classification number: G06K9/00906 ,  G06K9/0002 ,  G06K9/00093 ,  G06K9/001 ,  G06K9/00107 ,  G06K9/00114 ,  G06T7/32 ,  G06T7/337 ,  G06T7/344 ,  G06T7/44 ,  G06T2207/10132 ,  G06T2207/20064 ,  G06T2207/20072

    Abstract: A method of determining whether a biometric object is part of a live individual is described. In one such method, image information is acquired from the biometric object by using a sensor, such as an ultrasonic sensor. The image information may be analyzed in at least two analysis stages. One of the analysis stages may be a temporal analysis stage that analyzes changes in the image information obtained during a time period throughout which the biometric object was continuously available to the sensor. For example, a dead/alive stage may analyze differences between image information taken at two different times in order to identify changes from one time to the next. Other stages may focus on aspects of a particular image information set, rather than seeking to assess changes over time. These other stages seek to determine whether an image information set exhibits characteristics similar to those of a live biometric object.

    Abstract translation: 描述了一种确定生物体对象是否是活体个体的一部分的方法。 在一种这样的方法中，通过使用诸如超声波传感器的传感器从生物体对象获取图像信息。 可以在至少两个分析阶段中分析图像信息。 分析阶段之一可以是时间分析阶段，其分析在生物测定对象连续可用于传感器的时间段期间获得的图像信息的变化。 例如，死亡/活跃阶段可以分析在两个不同时间拍摄的图像信息之间的差异，以便识别从一次到另一次的变化。 其他阶段可能侧重于特定图像信息集的方面，而不是设法评估随时间的变化。 这些其他阶段寻求确定图像信息集是否表现出与活体生物体对象相似的特征。

    Object tracking using background and foreground models
    7.
    发明授权
    Object tracking using background and foreground models 有权
    使用背景和前景模型的对象跟踪

    公开(公告)号：US09152243B2

    公开(公告)日：2015-10-06

    申请号：US13777897

    申请日：2013-02-26

    Applicant: QUALCOMM Incorporated

    Inventor： Jin Gu

    IPC: G06K9/00 ,  G06F3/03 ,  G06K9/34 ,  G06K9/62 ,  G06F3/01 ,  G06T7/20 ,  G06T7/00

    CPC classification number: G06F3/0304 ,  G06F3/017 ,  G06K9/00208 ,  G06K9/00355 ,  G06K9/34 ,  G06K9/6242 ,  G06T7/194 ,  G06T7/251 ,  G06T7/277 ,  G06T2207/10016 ,  G06T2207/10021 ,  G06T2207/30196

    Abstract: Various arrangements for modeling a scene are presented. A plurality of images of the scene captured over a period of time may be received, each image comprising a plurality of pixels. A plurality of background models may be created using the plurality of images. At least one background model may be created for each pixel of the plurality of pixels. A plurality of foreground models may be created using the plurality of images. A foreground model may be created for each pixel of at least a first subset of pixels of the plurality of pixels. The background models and the foreground models may be indicative of the scene over the period of time.

    Abstract translation: 介绍了场景建模的各种安排。 可以接收在一段时间内捕获的场景的多个图像，每个图像包括多个像素。 可以使用多个图像来创建多个背景模型。 可以为多个像素中的每个像素创建至少一个背景模型。 可以使用多个图像来创建多个前景模型。 可以为多个像素的至少第一像素子集的每个像素创建前景模型。 背景模型和前景模型可能指示一段时间内的场景。

    HAND DETECTION, LOCATION, AND/OR TRACKING
    10.
    发明申请
    HAND DETECTION, LOCATION, AND/OR TRACKING 有权
    手动检测，位置和/或跟踪

    公开(公告)号：US20140056472A1

    公开(公告)日：2014-02-27

    申请号：US13777928

    申请日：2013-02-26

    Applicant: QUALCOMM INCORPORATED

    Inventor： Jin Gu

    IPC: G06T7/00

    CPC classification number: G06F3/0304 ,  G06F3/017 ,  G06K9/00208 ,  G06K9/00355 ,  G06K9/34 ,  G06K9/6242 ,  G06T7/194 ,  G06T7/251 ,  G06T7/277 ,  G06T2207/10016 ,  G06T2207/10021 ,  G06T2207/30196

    Abstract: Various arrangements for identifying a location of a hand of a person are presented. A group of pixels may be identified in an image of a scene as including the person. A reference point may be set for the group of pixels identified as the person. The hand may be identified as using a local distance maximum from the reference point. An indication, such as coordinates, of the location of the hand may be output based on the local distance.

    Abstract translation: 呈现用于识别人的手的位置的各种布置。 一组像素可以在包括人的场景的图像中被识别。 可以为被识别为人的像素组设置参考点。 可以将手识别为使用距离参考点的局部距离最大值。 可以基于本地距离来输出手的位置的诸如坐标的指示。

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