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    SYSTEM FOR FILTERING, SEGMENTING AND RECOGNIZING OBJECTS IN UNCONSTRAINED ENVIRONMENTS
    1.
    发明公开
    SYSTEM FOR FILTERING, SEGMENTING AND RECOGNIZING OBJECTS IN UNCONSTRAINED ENVIRONMENTS 审中-公开
    SYSTEM FOR滤波，分割与识别UNRESTRICTED ENVIRONMENTS物体的

    公开(公告)号：EP3123399A1

    公开(公告)日：2017-02-01

    申请号：EP15768523.1

    申请日：2015-03-26

    申请人： HRL LABORATORIES, LLC

    发明人： XU, Jiejun ,  KIM, Kyungnam ,  OWECHKO, Yuri, Owechko

    IPC分类号： G06K9/46 ,  G06T19/00

    CPC分类号： G06T19/20 ,  G06K9/00214 ,  G06K9/4604 ,  G06K9/6267 ,  G06T17/10 ,  G06T2210/56

    摘要： Described is a system for filtering, segmenting and recognizing objects. The system receives a three-dimensional (3D) point cloud having a plurality of data points in 3D space and down-samples the 3D point cloud to generate a down-sampled 3D point cloud with reduced data points in the 3D space. A ground plane is then identified and removed, leaving above-ground data points in the down-sampled 3D point cloud. The above-ground data points are clustered to generate a plurality of 3D blobs, each of the 3D blobs having a cluster size. The 3D blobs are filtered based on cluster size to generate a set of 3D candidate blobs. Features are extracted from each 3D candidate blob. Finally, at least one of the 3D candidate blobs is classified as a pre-defined object class based on the extracted features.

    摘要翻译： 描述了一种用于过滤，分割和识别物体的系统。 该系统接收具有数据点空间在三维空间和下采样的3D点云一个多元化，以产生具有在3D减小的数据点的降采样三维点云的三维（3D）点云。 然后，接地面被识别出和除去，在降采样的3D点云离开地面以上的数据点。 地上的数据点群集以产生3D斑点复数，每个具有一个簇的大小的三维斑点。 三维斑点是基于簇的大小以生成一组候选三维斑点的过滤。 特点是从各个不同的3D候选人的blob提取。 最后，三维候选斑点中的至少一个被分类为基于所提取的特征的预先定义的对象类。

    SYSTEM AND METHOD FOR IDENTIFYING USER INTERESTS THROUGH SOCIAL MEDIA
    5.
    发明公开
    SYSTEM AND METHOD FOR IDENTIFYING USER INTERESTS THROUGH SOCIAL MEDIA 审中-公开

    公开(公告)号：EP3332375A1

    公开(公告)日：2018-06-13

    申请号：EP16834008.1

    申请日：2016-08-08

    申请人： HRL LABORATORIES, LLC

    发明人： XU, Jiejun ,  LU, Tsai-Ching

    IPC分类号： G06Q30/02 ,  G06Q50/00

    CPC分类号： G06F17/30867 ,  G06Q30/02 ,  G06Q30/0255 ,  G06Q50/01

    摘要： Described is a system for discovering user interests through online social media, and more specifically, to a way of doing so by means of a bi-directional graph model. During operation, the system generates a confidence matrix F based on user interactions and co-occurring tags on a social media platform. The confidence matrix F indicates a likelihood of the users in the social media platform as being interested in a particular topic. Based on such likelihoods, an action can be initiated regarding a particular topic for those users whose likelihood of being interested in the particular topic exceeds a predetermined threshold. For example, the system generates and presents an online advertisement to users regarding a particular topic to those users whose likelihood of being interested in the particular topic exceeds a predetermined threshold.