METHOD AND DEVICE FOR DETECTING GATHERING OF OBJECTS BASED ON STEREO VISION AS WELL AS NON-TRANSITORY COMPUTER-READABLE MEDIUM
    1.
    发明申请
    METHOD AND DEVICE FOR DETECTING GATHERING OF OBJECTS BASED ON STEREO VISION AS WELL AS NON-TRANSITORY COMPUTER-READABLE MEDIUM 有权
    用于基于立体视觉检测物体的方法和装置,作为非接线计算机可读介质

    公开(公告)号:US20160335491A1

    公开(公告)日:2016-11-17

    申请号:US15151940

    申请日:2016-05-11

    IPC分类号: G06K9/00 G06T7/20 G06T7/00

    CPC分类号: G06K9/00369 G06K9/00778

    摘要: Method, device, and non-transitory computer-readable medium detecting a gathering of objects based on stereo vision are disclosed, and the method comprises steps of obtaining current and prior images and a corresponding depth map; extracting foreground pixels corresponding to detection objects from the current and prior images, and projecting the foreground pixels onto a ground surface to acquire a foreground projection image including foreground projection blocks; conducting, based on image feature differences of the foreground pixels between the current and prior images, projection onto the ground surface to acquire moving foreground projection blocks; utilizing the moving foreground projection blocks to erode the foreground projection blocks to obtain still foreground projection blocks; and determining, based on the still foreground projection blocks, whether the gathering of objects exists.

    摘要翻译: 公开了基于立体视觉检测物体聚集的方法,装置和非暂时计算机可读介质,并且该方法包括获取当前和先前图像以及对应的深度图的步骤; 从当前和先前图像中提取与检测对象相对应的前景像素,并将前景像素投影到地面上以获取包括前景投影块的前景投影图像; 基于当前和先前图像之间的前景像素的图像特征差异进行投影,以投影到地面上以获取移动的前景投影块; 利用移动的前景投影块来侵蚀前景投影块以获得静止的前景投影块; 以及基于所述静止前景投影块来确定是否存在对象的聚集。

    Method and device for detecting gathering of objects based on stereo vision as well as non-transitory computer-readable medium

    公开(公告)号:US09754160B2

    公开(公告)日:2017-09-05

    申请号:US15151940

    申请日:2016-05-11

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00369 G06K9/00778

    摘要: Method, device, and non-transitory computer-readable medium detecting a gathering of objects based on stereo vision are disclosed, and the method comprises steps of obtaining current and prior images and a corresponding depth map; extracting foreground pixels corresponding to detection objects from the current and prior images, and projecting the foreground pixels onto a ground surface to acquire a foreground projection image including foreground projection blocks; conducting, based on image feature differences of the foreground pixels between the current and prior images, projection onto the ground surface to acquire moving foreground projection blocks; utilizing the moving foreground projection blocks to erode the foreground projection blocks to obtain still foreground projection blocks; and determining, based on the still foreground projection blocks, whether the gathering of objects exists.

    Method and apparatus for detecting persons, and non-transitory computer-readable recording medium

    公开(公告)号:US09984286B2

    公开(公告)日:2018-05-29

    申请号:US15148391

    申请日:2016-05-06

    IPC分类号: G06K9/00 G06K9/62 G06T7/00

    CPC分类号: G06K9/00369 G06K9/00778

    摘要: A method and an apparatus for detecting persons are disclosed. The method includes initially detecting the persons in a height-top-view; dividing the height-top-view into one or more regions, and estimating crowd density in each region; determining, based on the crowd density, visible regions of the initially detected persons in each of the regions; for each of the initially detected persons, extracting a first gradient feature and a second gradient feature of the person from the height-top-view, and a grayscale image or a color image corresponding to the height-top-view, respectively; for each of the initially detected persons, determining, based on the extracted first gradient feature and second gradient feature, using a previously constructed classifier corresponding to the determined visible region of the person, a confidence level of the initially detected person; and correcting, based on the confidence level, a detection result of the initially detected persons.

    Shadow detection method and device
    7.
    发明授权
    Shadow detection method and device 有权
    阴影检测方法和设备

    公开(公告)号:US09142011B2

    公开(公告)日:2015-09-22

    申请号:US14276053

    申请日:2014-05-13

    IPC分类号: G06T5/00 G06T7/00

    摘要: Disclosed are a shadow detection method and device. The method includes a step of obtaining a depth/disparity map and color/grayscale image from a two-lens camera or stereo camera; a step of detecting and acquiring plural foreground points; a step of projecting the acquired plural foreground points into a 3-dimensional coordinate system; a step of carrying out, in the 3-dimensional coordinate system, a clustering process with respect to the projected plural foreground points so as to divide the projected plural foreground points into one or more point clouds; a step of calculating density distribution of each of the one or more point clouds by adopting a principal component analysis algorithm so as to obtain one or more principal component values of the corresponding point cloud; and a step of determining, based on the one or more principal component values, whether the corresponding point cloud is a shadow.

    摘要翻译: 公开了一种阴影检测方法和装置。 该方法包括从双镜头相机或立体相机获取深度/视差图和彩色/灰度图像的步骤; 检测并获取多个前景点的步骤; 将所获取的多个前景点投影到三维坐标系中的步骤; 在三维坐标系中执行相对于投影的多个前景点的聚类处理,以将投影的多个前景点划分成一个或多个点云的步骤; 通过采用主成分分析算法计算一个或多个点云中的每一个点的密度分布以便获得对应点云的一个或多个主成分值的步骤; 以及基于所述一个或多个主成分值来确定对应的点云是否是阴影的步骤。

    Method and apparatus for detecting abnormal situation

    公开(公告)号:US10032082B2

    公开(公告)日:2018-07-24

    申请号:US15143718

    申请日:2016-05-02

    IPC分类号: G06K9/00

    摘要: A method and an apparatus for detecting an abnormal situation are disclosed. The method includes recognizing whether a detection target exists in a captured image; generating, based on the captured image, a three-dimensional point cloud of the detection target in the captured image, when the detection target exists; obtaining, based on the generated three-dimensional point cloud, one or more current posture features of the detection target; and determining, based on the current posture features and one or more predetermined posture feature standards, whether the abnormal situation exists, the posture feature standards being previously determined based on one or more common features when the detection target performs a plurality of abnormal actions.