Information processing method and apparatus, and image pickup device
    12.
    发明授权
    Information processing method and apparatus, and image pickup device 有权
    信息处理方法和装置以及图像拾取装置

    公开(公告)号:US07991719B2

    公开(公告)日:2011-08-02

    申请号:US11579981

    申请日:2005-06-02

    IPC分类号: G06N3/00

    摘要: An output value of neuron within an objective layer of a hierarchical neural network is computed. The data of the output value of neuron is stored in a memory only if the output value of neuron is greater than or equal to a predetermined value by referring to the computed output value of neuron within the objective layer. When the data of the output value of neuron on a former layer of objective layer is read from the memory, the data having a predetermined value is read, instead of the data of the output value of neuron not stored in the memory.

    摘要翻译: 计算层次神经网络目标层内神经元的输出值。 如果神经元的输出值大于或等于预定值,则通过参照计算出的目标层内神经元的输出值,将神经元的输出值的数据存储在存储器中。 当从存储器中读取目标层之前的神经元的输出值的数据时,读取具有预定值的数据,而不是未存储在存储器中的神经元的输出值的数据。

    Camera system, camera, and camera control method
    13.
    发明申请
    Camera system, camera, and camera control method 有权
    相机系统,相机和相机控制方法

    公开(公告)号:US20050280711A1

    公开(公告)日:2005-12-22

    申请号:US11145380

    申请日:2005-06-03

    IPC分类号: H04N5/225 G06F17/00 H04N5/232

    CPC分类号: H04N5/232

    摘要: Camera information corresponding to the position at which the target to be searched for in the captured image is detected is identified, another camera specified by the identified camera information receives a notification that the target has been detected (S209), and when a notification is received from another camera, the posture of the own camera is controlled so that the area associated with the camera information specifying another camera can be observed (S211).

    摘要翻译: 识别对应于检测到拍摄图像中要搜索的目标的位置的相机信息,由所识别的相机信息指定的另一相机接收到已经检测到目标的通知(S 209),并且当通知为 从另一相机接收,控制自身相机的姿态,使得可以观察到与指定另一相机的相机信息相关联的区域(S 211)。

    Action recognition apparatus and method, moving-object recognition apparatus and method, device control apparatus and method, and program
    14.
    发明申请
    Action recognition apparatus and method, moving-object recognition apparatus and method, device control apparatus and method, and program 有权
    动作识别装置和方法,移动物体识别装置和方法,装置控制装置和方法以及程序

    公开(公告)号:US20050157908A1

    公开(公告)日:2005-07-21

    申请号:US11035240

    申请日:2005-01-13

    摘要: An action recognition apparatus includes an input unit for inputting image data, a moving-object detection unit for detecting a moving object from the image data, a moving-object identification unit for identifying the detected moving object based on the image data, a state detection unit for detecting a state or an action of the moving object from the image data, and a learning unit for learning the detected state or action by associating the detected state or action with meaning information specific to the identified moving object.

    摘要翻译: 一种动作识别装置,包括用于输入图像数据的输入单元,用于从图像数据检测移动物体的移动物体检测单元,用于基于图像数据识别检测到的移动物体的移动物体识别单元,状态检测 用于从图像数据检测移动物体的状态或动作的单元,以及用于通过将检测到的状态或动作与所识别的移动对象特有的意义信息相关联来学习检测到的状态或动作的学习单元。

    IMAGE PROCESSING APPARATUS, METHOD THEREOF, PROGRAM, AND IMAGE CAPTURING APPARATUS
    15.
    发明申请
    IMAGE PROCESSING APPARATUS, METHOD THEREOF, PROGRAM, AND IMAGE CAPTURING APPARATUS 有权
    图像处理设备,其方法,程序和图像捕获设备

    公开(公告)号:US20120045095A1

    公开(公告)日:2012-02-23

    申请号:US13207544

    申请日:2011-08-11

    IPC分类号: G06K9/00

    摘要: An image processing apparatus stores model information representing a subject model belonging to a specific category, detects the subject from an input image by referring to the model information, determines a region for which an image correction is to be performed within a region occupied by the detected subject in the input image, stores, for a local region of the image, a plurality of correction data sets representing correspondence between a feature vector representing a feature before correction and a feature vector representing a feature after correction, selects at least one of the correction data sets to be used to correct a local region included in the region determined to undergo the image correction, and corrects the region determined to undergo the image correction using the selected correction data sets.

    摘要翻译: 图像处理装置存储表示属于特定类别的对象模型的模型信息,通过参考模型信息从输入图像检测对象,确定在被检测到的区域内进行图像校正的区域 在输入图像中,对于图像的局部区域存储表示表示校正前的特征的特征矢量与表示校正后的特征的特征矢量之间的对应关系的多个校正数据集,选择校正中的至少一个, 用于校正被确定为进行图像校正的区域中包括的局部区域的数据组,并且使用所选择的校正数据集校正确定为进行图像校正的区域。

    IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD
    17.
    发明申请
    IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD 有权
    图像处理装置和图像处理方法

    公开(公告)号:US20110103695A1

    公开(公告)日:2011-05-05

    申请号:US12914439

    申请日:2010-10-28

    IPC分类号: G06K9/46

    摘要: Corresponding partial features are extracted from an input pattern and a registration pattern as a preregistered pattern. A plurality of combinations of the partial features are generated as composited partial features. One of registration pattern classes to which the input pattern corresponds is identified by using the plurality of composited partial features. The identification is performed based on the result of evaluation of the partial features which belong to the composited partial feature and correspond to each other in the input pattern and the registration pattern. In the evaluation, the composited partial feature is evaluated based on the measurement result of the quantity of partial features meeting a predetermined criterion.

    摘要翻译: 从输入图案和注册图案中提取相应的部分特征作为预注册图案。 产生部分特征的多个组合作为合成部分特征。 通过使用多个合成的部分特征来识别输入图案对应的注册图案类之一。 基于属于合成部分特征的部分特征的评估结果进行识别,并且在输入图案和登记图案中彼此对应。 在评估中,基于满足预定标准的部分特征量的测量结果来评估合成部分特征。

    IMAGE CONVERSION METHOD AND APPARATUS, AND PATTERN IDENTIFICATION METHOD AND APPARATUS
    18.
    发明申请
    IMAGE CONVERSION METHOD AND APPARATUS, AND PATTERN IDENTIFICATION METHOD AND APPARATUS 有权
    图像转换方法和装置,以及图案识别方法和装置

    公开(公告)号:US20100329556A1

    公开(公告)日:2010-12-30

    申请号:US12819003

    申请日:2010-06-18

    IPC分类号: G06K9/62 G06K9/00

    CPC分类号: G06K9/38 G06K9/6251

    摘要: In an image conversion method, a value which reflects the mutual relationship between the classes of pixel patterns each formed from a pixel classified as one of a plurality of classes and peripheral pixels is set as a converted value corresponding to each of the plurality of classes, a pixel of interest is sequentially selected from the input image, and a pixel pattern formed from the selected pixel of interest and a predetermined number of pixels around it is classified as one of the plurality of classes in accordance with a neighboring pattern obtained based on the relationship between the value of the pixel of interest and the values of peripheral pixels located at predetermined relative positions with respect to the pixel of interest. The value of the pixel of interest is converted into a converted value set for a class to which the pixel of interest has been classified.

    摘要翻译: 在图像转换方法中,反映从分类为多个类别和周边像素之一的像素形成的像素图案的类别之间的相互关系的值被设置为与多个类别中的每一个对应的转换值, 从输入图像顺序选择感兴趣的像素,并且根据所选择的感兴趣像素形成的像素图案和其周围的预定数量的像素被分类为根据基于 感兴趣像素的值与位于相对于感兴趣像素的预定相对位置的周边像素的值之间的关系。 感兴趣像素的值被转换为对感兴趣的像素已被分类的类的转换值集合。

    IMAGE RECOGNITION APPARATUS FOR IDENTIFYING FACIAL EXPRESSION OR INDIVIDUAL, AND METHOD FOR THE SAME
    19.
    发明申请
    IMAGE RECOGNITION APPARATUS FOR IDENTIFYING FACIAL EXPRESSION OR INDIVIDUAL, AND METHOD FOR THE SAME 审中-公开
    用于识别真人表达或个体的图像识别装置及其方法

    公开(公告)号:US20100296706A1

    公开(公告)日:2010-11-25

    申请号:US12781728

    申请日:2010-05-17

    IPC分类号: G06K9/00

    摘要: A face detecting unit detects a person's face from input image data, and a parameter setting unit sets parameters for generating a gradient histogram indicating the gradient direction and gradient magnitude of a pixel value based on the detected face. Further, a generating unit sets a region (a cell) from which to generate a gradient histogram in the region of the detected face, and generates a gradient histogram for each such region to generate feature vectors. An expression identifying unit identifies an expression exhibited by the detected face based on the feature vectors. Thereby, the facial expression of a person included in an image is identified with high precision.

    摘要翻译: 面部检测单元从输入图像数据检测人的脸部,参数设定单元基于检测到的脸部设置用于生成表示像素值的梯度方向和梯度大小的梯度直方图的参数。 此外,生成单元设置从检测到的面部的区域生成梯度直方图的区域(单元格),并且生成用于每个这样的区域的梯度直方图以生成特征向量。 表达识别单元基于特征向量来识别检测到的面部表现的表达。 因此,以高精度识别包含在图像中的人的面部表情。

    LEARNING APPARATUS FOR PATTERN DETECTOR, LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM
    20.
    发明申请
    LEARNING APPARATUS FOR PATTERN DETECTOR, LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM 有权
    模式检测器,学习方法和计算机可读存储介质的学习设备

    公开(公告)号:US20090324060A1

    公开(公告)日:2009-12-31

    申请号:US12485020

    申请日:2009-06-15

    IPC分类号: G06K9/62

    摘要: A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, acquires a plurality of data for learning in each of which whether or not the specific pattern is included is given, makes the plurality of weak classifiers learn by making the plurality of weak classifiers detect the specific pattern from the acquired data for learning, selects a plurality of weak classifiers to be composited from the weak classifiers which have learned, and composites the plurality of weak classifiers into one composite weak classifier based on comparison between a performance of the composite weak classifier and performances of the plurality of weak classifiers.

    摘要翻译: 一种用于模式检测器的学习装置,包括多个弱分类器,并通过多个弱分类器的分类从输入数据检测特定模式,获取多个用于学习的数据,每个数据是否具体模式是 通过使多个弱分类器从所获取的学习数据中检测出特定模式,使得多个弱分类器学习,从已经学习的弱分类器中选择要合成的多个弱分类器,并且复合多个弱分类器 基于复合弱分类器的性能与多个弱分类器的性能之间的比较,将弱分类器转换为一个复合弱分类器。