Device and method for detecting object and device and method for group learning
    13.
    再颁专利
    Device and method for detecting object and device and method for group learning 有权
    用于组学习的物体和装置的检测装置及方法

    公开(公告)号:USRE44703E1

    公开(公告)日:2014-01-14

    申请号:US13669820

    申请日:2012-11-06

    CPC classification number: G06K9/6282 G06K9/00248 G06K9/6256

    Abstract: An object detecting device for detecting an object in a given gradation image. A scaling section generates scaled images by scaling down a gradation image input from an image output section. A scanning section sequentially manipulates the scaled images and cutting out window images from them and a discriminator judges if each window image is an object or not. The discriminator includes a plurality of weak discriminators that are learned in a group by boosting and an adder for making a weighted majority decision from the outputs of the weak discriminators. Each of the weak discriminators outputs an estimate of the likelihood of a window image to be an object or not by using the difference of the luminance values between two pixels. The discriminator suspends the operation of computing estimates for a window image that is judged to be a non-object, using a threshold value that is learned in advance.

    Abstract translation: 一种用于检测给定灰度图像中的物体的物体检测装置。 缩放部分通过缩小从图像输出部分输入的灰度图像来生成缩放图像。 扫描部分顺序地操纵缩放图像并从中切出窗口图像,并且鉴别器判断每个窗口图像是否是对象。 鉴别器包括通过升压在一组中学习的多个弱识别器和用于从弱识别器的输出进行加权多数决定的加法器。 每个弱识别器通过使用两个像素之间的亮度值的差异来输出窗口图像成为对象的可能性的估计。 鉴别器使用预先学习的阈值暂停对被判断为非对象的窗口图像的计算估计的操作。

    Information processing apparatus, information processing method, and computer program for controlling state transition
    20.
    再颁专利
    Information processing apparatus, information processing method, and computer program for controlling state transition 有权
    信息处理装置,信息处理方法以及用于控制状态转换的计算机程序

    公开(公告)号:USRE46186E1

    公开(公告)日:2016-10-25

    申请号:US13927708

    申请日:2013-06-26

    CPC classification number: G05B19/045 G05B13/0265 G05B2219/23288 G06N99/005

    Abstract: An information processing apparatus includes: model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor; and controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means.

    Abstract translation: 信息处理装置包括:用于自组织的模型学习装置,基于具有通过使用时间序列数据作为时间序列数据而被学习的状态和状态转变的状态转换模型,从获得的观察信号获得的内部状态 通过传感器; 以及控制器学习装置,用于在指示由模型学习装置自组织的内部状态的状态转换模型中执行学习以分配向控制器输出动作的状态或转换目的地状态中的每一个的转换。

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