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    • 1. 发明授权
    • Method for self localization using parallel projection model
    • 使用平行投影模型进行自定位的方法
    • US08432442B2
    • 2013-04-30
    • US12675344
    • 2007-10-25
    • Yun Young NamYun Tai KyongShung Han ChoSang Jin HongWe-Duke Cho
    • Yun Young NamYun Tai KyongShung Han ChoSang Jin HongWe-Duke Cho
    • H04N7/18
    • G06T7/73G06T2207/30244G06T2207/30252
    • A method of recognizing a self location of an image acquisition device by acquiring an image of two or more reference objects is provided. The method of the present invention comprises setting an actual camera plane, two or more reference object planes, and two or more virtual viewable planes located between the actual camera plane and the reference object planes; projecting the reference objects to a corresponding one of the virtual viewable planes; calculating a distance between a viewing axis and the reference objects and a distance between the viewing axis and images on the actual camera plane, the images corresponding to the reference objects; and sensing the self location of the image acquisition device by using an orientation and a zoom factor of the image acquisition device and coordinates of the reference objects, wherein the zoom factor is a ratio of a length of the reference object plane and a distance between the reference object plane and the virtual viewable plane, and the actual camera plane, the virtual viewable plane, and the reference object plane are perpendicular to the viewing axis.
    • 提供了通过获取两个或更多个参考对象的图像来识别图像获取装置的自身位置的方法。 本发明的方法包括设置实际相机平面,两个或更多个参考对象平面以及位于实际相机平面和参考对象平面之间的两个或多个虚拟可视平面; 将所述参考对象投影到所述虚拟可见平面中的对应的一个; 计算观察轴与参考对象之间的距离以及观察轴与实际相机平面上的图像之间的距离,对应于参考对象的图像; 以及通过使用所述图像获取装置的取向和缩放因子以及所述参考对象的坐标来感测所述图像采集装置的自身位置,其中,所述缩放因子是所述参考对象平面的长度与所述参考对象的距离的比率 参考物体平面和虚拟可见平面,实际相机平面,虚拟可见平面和参考对象平面垂直于视轴。
    • 2. 发明申请
    • METHOD FOR SELF LOCALIZATION USING PARALLEL PROJECTION MODEL
    • 使用并行投影模型进行自我定位的方法
    • US20100245564A1
    • 2010-09-30
    • US12675344
    • 2007-10-25
    • Yun Young NamYun Tai KyongShung Han ChoSang Jin HongWe-Duke Cho
    • Yun Young NamYun Tai KyongShung Han ChoSang Jin HongWe-Duke Cho
    • H04N7/18
    • G06T7/73G06T2207/30244G06T2207/30252
    • A method of recognizing a self location of an image acquisition device by acquiring an image of two or more reference objects is provided. The method of the present invention comprises setting an actual camera plane, two or more reference object planes, and two or more virtual viewable planes located between the actual camera plane and the reference object planes; projecting the reference objects to a corresponding one of the virtual viewable planes; calculating a distance between a viewing axis and the reference objects and a distance between the viewing axis and images on the actual camera plane, the images corresponding to the reference objects; and sensing the self location of the image acquisition device by using an orientation and a zoom factor of the image acquisition device and coordinates of the reference objects, wherein the zoom factor is a ratio of a length of the reference object plane and a distance between the reference object plane and the virtual viewable plane, and the actual camera plane, the virtual viewable plane, and the reference object plane are perpendicular to the viewing axis.
    • 提供了通过获取两个或更多个参考对象的图像来识别图像获取装置的自身位置的方法。 本发明的方法包括设置实际相机平面,两个或更多个参考对象平面以及位于实际相机平面和参考对象平面之间的两个或多个虚拟可视平面; 将所述参考对象投影到所述虚拟可见平面中的对应的一个; 计算观察轴与参考对象之间的距离以及观察轴与实际相机平面上的图像之间的距离,对应于参考对象的图像; 以及通过使用所述图像获取装置的取向和缩放因子以及所述参考对象的坐标来感测所述图像采集装置的自身位置,其中,所述缩放因子是所述参考对象平面的长度与所述参考对象的距离的比率 参考物体平面和虚拟可见平面,实际相机平面,虚拟可见平面和参考对象平面垂直于视轴。
    • 3. 发明授权
    • Apparatus and method for inferencing topology of multiple cameras network by tracking movement
    • 通过跟踪运动推测多台摄像机网络的拓扑结构的装置和方法
    • US08300102B2
    • 2012-10-30
    • US12675682
    • 2007-10-23
    • Yun Young NamJung Hun RyuWe-Duke Cho
    • Yun Young NamJung Hun RyuWe-Duke Cho
    • H04N5/225G06K9/00
    • G06K9/00771G06T7/292G06T2207/10016
    • Provided are an apparatus and a method for tracking movements of objects to infer a topology of a network of multiple cameras. The apparatus infers the topology of the network formed of the multiple cameras that sequentially obtain images and includes an object extractor, a haunting data generator, and a haunting database (DB), and a topology inferrer. The object extractor extracts at least one from each of the obtained images, for the multiple cameras. The haunting data generator generates appearing cameras and appearing times at which the moving objects appear, and disappearing cameras and disappearing times at which the moving objects disappear, for the multiple cameras. The haunting DB stores the appearing cameras and appearing times and the disappearing cameras and disappearing times of the moving object, for the multiple cameras. The topology inferrer infers the topology of the network using the appearing cameras and appearing times and the disappearing cameras and disappearing times of moving objects. Therefore, the apparatus accurately infers topologies and distances among the multiple cameras in the network of the multiple cameras using the cameras and appearing and disappearing times at which the moving objects appear and disappear. As a result, the apparatus accurately track the moving objects in the network.
    • 一种用于跟踪对象的运动以推断多个摄像机的网络的拓扑的装置和方法。 该装置推断由顺序获得图像的多个摄像机形成的网络的拓扑结构,并且包括对象提取器,困扰数据生成器和困扰数据库(DB)以及拓扑推断器。 对象提取器从所获得的每个图像中提取至少一个图像。 令人讨厌的数据发生器产生出现的相机和运动物体出现的出现时间,消失相机和消失时间,移动物体消失。 令人难以置信的数位存储了多台摄像机出现的摄像机和出现的时间以及消失的摄像机和移动物体的消失时间。 拓扑推断器使用出现的摄像机和出现的时间以及消失的摄像机和移动物体的消失时间来推测网络的拓扑。