Recognizing Entity Interactions in Visual Media
    11.
    发明申请
    Recognizing Entity Interactions in Visual Media 有权
    识别视觉媒体中的实体交互

    公开(公告)号:US20140270482A1

    公开(公告)日:2014-09-18

    申请号:US14021696

    申请日:2013-09-09

    CPC classification number: G06K9/00677 G06K9/00221 G06K9/00664

    Abstract: An entity interaction recognition system algorithmically recognizes a variety of different types of entity interactions that may be captured in two-dimensional images. In some embodiments, the system estimates the three-dimensional spatial configuration or arrangement of entities depicted in the image. In some embodiments, the system applies a proxemics-based analysis to determine an interaction type. In some embodiments, the system infers, from a characteristic of an entity detected in an image, an area or entity of interest in the image.

    Abstract translation: 实体交互识别系统在算法上识别可以在二维图像中捕获的各种不同类型的实体交互。 在一些实施例中,系统估计在图像中描绘的实体的三维空间配置或排列。 在一些实施例中,系统应用基于proxemics的分析来确定交互类型。 在一些实施例中,系统从图像中检测到的实体的特征推断图像中感兴趣的区域或实体。

    Recognizing entity interactions in visual media

    公开(公告)号:US10121076B2

    公开(公告)日:2018-11-06

    申请号:US15144279

    申请日:2016-05-02

    Abstract: An entity interaction recognition system algorithmically recognizes a variety of different types of entity interactions that may be captured in two-dimensional images. In some embodiments, the system estimates the three-dimensional spatial configuration or arrangement of entities depicted in the image. In some embodiments, the system applies a proxemics-based analysis to determine an interaction type. In some embodiments, the system infers, from a characteristic of an entity detected in an image, an area or entity of interest in the image.

    3D visual proxemics: recognizing human interactions in 3D from a single image
    19.
    发明授权
    3D visual proxemics: recognizing human interactions in 3D from a single image 有权
    3D视觉proxemics:从单一图像识别3D中的人类交互

    公开(公告)号:US09268994B2

    公开(公告)日:2016-02-23

    申请号:US13967521

    申请日:2013-08-15

    CPC classification number: G06K9/00248 G06K9/00221 G06K9/00677

    Abstract: A unified framework detects and classifies people interactions in unconstrained user generated images. Previous approaches directly map people/face locations in two-dimensional image space into features for classification. Among other things, the disclosed framework estimates a camera viewpoint and people positions in 3D space and then extracts spatial configuration features from explicit three-dimensional people positions.

    Abstract translation: 统一的框架可以检测和分类人们在无约束用户生成的图像中的交互。 以前的方法直接将二维图像空间中的人物/面部位置映射到要分类的特征中。 除此之外,所公开的框架估计了3D空间中的摄像机视点和人员位置,然后从显式的三维人员位置提取空间配置特征。

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