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    • 1. 发明授权
    • Region-of-interest setting apparatus for respiration monitoring and a
respiration monitoring system
    • 用于呼吸监测的感兴趣区域设定装置和呼吸监测系统
    • US6110123A
    • 2000-08-29
    • US196197
    • 1998-11-20
    • Ken IshiharaYoshio MiyakeHiroaki NakaiMutsumi WatanabeKeisuke Takada
    • Ken IshiharaYoshio MiyakeHiroaki NakaiMutsumi WatanabeKeisuke Takada
    • G01B11/00A61B5/00A61B5/08A61B5/113G01B11/02G06T1/00
    • A61B5/08A61B5/113
    • A region-of-interest (ROI) setting apparatus for respiration monitoring and a respiration monitoring system capable of setting an ROI in an automatic manner. Absolute values of subtractions between every successive two of a plurality of frame images photographed by a CCD camera 2 for a period of time equal to half a respiration period are calculated, then summed and stored. Based on the change information thus calculated and stored, the position and size of each changed region is calculated. Provisional regions are set from the changed regions successively from the greatest to the smallest one thereof. In each of these provisional regions, it is determined whether a gray level histogram indicative of distribution of the number of pixels for respective gray level values includes a twin peak characteristic having twin peaks each equal to or higher than a predetermined value, and whether the area of the corresponding changed region is equal to or greater than a predetermined value. One of the provisional regions that satisfies these conditions is set as an ROI.
    • 用于呼吸监测的感兴趣区域(ROI)设置装置和能够以自动方式设置ROI的呼吸监测系统。 计算由CCD照相机2拍摄的等于呼吸周期的一半的时间段的多个帧图像中的每个连续的两个之间的减法的绝对值,然后求和并存储。 基于这样计算和存储的变化信息,计算每个变化区域的位置和大小。 临时区域从连续变化的区域从最大到最小的一个设定。 在这些临时区域的每一个中,确定表示各个灰度值的像素数量分布的灰度级直方图是否包括具有等于或高于预定值的双峰值的双峰特性,以及区域 相对应的变化区域等于或大于预定值。 满足这些条件的临时区域之一被设定为ROI。
    • 4. 发明授权
    • Recognizing apparatus and recognizing method
    • 识别装置和识别方法
    • US07877334B2
    • 2011-01-25
    • US11896900
    • 2007-09-06
    • Takumi KobayashiHiroaki Nakai
    • Takumi KobayashiHiroaki Nakai
    • G06F15/18
    • G06K9/6256G06K9/6287
    • A recognizing apparatus includes a training vector input unit configured to enter training vectors for training, a weak classifier generator configured to obtain weak classifiers based on the value of an element of a dimension common to the training vectors using a learning method, a classifier integrator configured to obtain non-linear mappings for each dimension of the training vectors by combining the weak classifiers, a test vector input unit configured to input a test vector to be classified, a non-linear transformer configured to a transformed vector by transforming the values of the elements of the test vector using the respective non-linear mappings, and a score calculator configured to obtain a classification score by summing the value of the respective elements of the transformed vector and recognize the test vector using the classification score.
    • 识别装置包括被配置为输入用于训练的训练向量的训练矢量输入单元,被配置为基于使用学习方法对训练矢量共有的维度的元素的值来获得弱分类器的弱分类器生成器,分类器积分器 通过组合弱分类器来获得训练向量的每个维度的非线性映射,被配置为输入要分类的测试向量的测试向量输入单元,通过将所分配的值转换成变换矢量的非线性变换器 使用各自的非线性映射的测试矢量的元素,以及分数计算器,被配置为通过将变换矢量的各个元素的值相加来获得分类分数,并使用分类分数来识别测试向量。
    • 5. 发明申请
    • Image processing apparatus
    • 图像处理装置
    • US20070183667A1
    • 2007-08-09
    • US11652501
    • 2007-01-12
    • Paul WyattHiroaki Nakai
    • Paul WyattHiroaki Nakai
    • G06K9/46
    • G06K9/48G06K9/4609G06T7/13
    • An apparatus includes: a spatial differential value calculation unit that calculates a primary spatial differential value and a secondary spatial differential value of a brightness value with respect to each of a plurality of directions in each pixel of the image; a maximum and minimum direction estimation unit that estimates a maximum direction and a minimum direction for each pixel, the maximum direction being a direction with which the primary spatial differential value is a maximum value, the minimum direction being a direction with which the primary spatial differential value is a minimum value; and an evaluated value calculation unit that calculates a first evaluated value of each pixel using the primary spatial differential value in the maximum direction, the primary spatial differential value in the minimum direction, and the secondary spatial differential value in the maximum direction.
    • 一种装置,包括:空间微分值计算单元,其针对图像的每个像素中的多个方向中的每个方向计算亮度值的一次空间微分值和二次空间微分值; 估计每个像素的最大方向和最小方向的最大和最小方向估计单元,最大方向是主要空间微分值是最大值的方向,最小方向是主要空间差异的方向 值是最小值; 以及评估值计算单元,其使用最大方向上的一次空间差分值,最小方向上的一次空间微分值和最大方向上的二次空间微分值来计算每个像素的第一评估值。
    • 8. 发明授权
    • Method and system for data processing with data distribution managing
    • 数据处理与数据分发管理的方法和系统
    • US07653662B2
    • 2010-01-26
    • US11480972
    • 2006-07-06
    • Hitoshi MizutaniAtsushi HirataHiroaki Nakai
    • Hitoshi MizutaniAtsushi HirataHiroaki Nakai
    • G06F17/30
    • G06Q10/087
    • It is judged whether the reference data is the latest and if not the latest, the data is updated to the latest in a short time. A program in which data creation procedure is pre-defined creates requested secondary data according to primary data. The primary data, the secondary data, and data update information including the primary data update time and the secondary data update time are stored in a storage device. When the relationship between data update information on the primary data and the secondary data used for creating the requested secondary data when generation of the secondary data is requested and the data update information on the requested secondary data does not satisfy a predetermined condition, a program for creating the requested secondary data is executed. Furthermore, the primary data and the secondary data are outputted to the output unit while correlating them to each other.
    • 判断参考数据是否是最新的,如果不是最新的,数据在短时间内更新到最新。 预先定义数据创建过程的程序根据主数据创建请求的辅助数据。 包括主数据更新时间和辅助数据更新时间的主数据,辅数据和数据更新信息被存储在存储装置中。 当请求关于主数据的数据更新信息和用于创建所请求的辅助数据的辅助数据之间的关系,并且关于请求的次要数据的数据更新信息不满足预定条件时, 执行所请求的辅助数据的创建。 此外,将主数据和次数据输出到输出单元,同时使它们相互关联。
    • 9. 发明授权
    • Obstacle detection device and method therefor
    • 障碍物检测装置及其方法
    • US07132933B2
    • 2006-11-07
    • US11086357
    • 2005-03-23
    • Hiroaki NakaiHiroshi HattoriNobuyuki TakedaKazunori Onoguchi
    • Hiroaki NakaiHiroshi HattoriNobuyuki TakedaKazunori Onoguchi
    • B60Q1/00
    • G06K9/00805G06K9/00651G06K9/00664G06K9/00798G06T7/593G06T7/70G06T7/74G06T2207/10021G06T2207/30261G08G1/165G08G1/166
    • Provided is a technology for helping safe driving and realizing automatic driving of vehicles, or for counting the number of passing vehicles on the road or monitoring those passing vehicles for their driving. Using a plurality of cameras mounted in a vehicle or provided above a road, even if the relationship between the road plane and the respective cameras constantly changes in relative position or posture due to camera vibration or a change in road tilt, any obstacles located on the road such as other vehicles ahead, parked vehicles, and pedestrians on the road are detected without confusing those with textures including white lines, road signs, paint, road stains, and shadows of roadside objects, all of which do not disturb vehicle driving. An obstacle detection device 10 is structured by an image input section 11 for receiving images from a plurality of image pick-up devices 101, a correspondence detection section 12 for finding a plurality of pairs of corresponding points from the received right and left images, the slope degree calculation section 13 for calculating a slope degree of a plane including the corresponding points, and a result determination section 14 for determining as there being an obstacle when the calculated slope degree is larger than a predetermined value.
    • 提供了一种技术,用于帮助驾驶安全驾驶,实现车辆自动驾驶,或计算道路上过往车辆的数量,或者监控那些过往车辆进行驾驶的技术。 使用安装在车辆中或设置在道路上方的多个照相机,即使路面和各个照相机之间的关系由于照相机振动或道路倾斜的变化而不断地在相对位置或姿势上变化,所以位于 检测道路上的其他车辆,停放的车辆和道路上的行人,而不会混淆那些与白线,道路标志,油漆,道路污渍和路边物体的阴影的纹理,这些都不会扰乱车辆行驶。 障碍物检测装置10由图像输入部11构成,用于从多个摄像装置101接收图像,对应检测部12,用于从接收到的左右图像中找到多对对应点, 倾斜度计算部13,用于计算包括对应点的平面的倾斜度;以及结果确定部14,用于当所计算的坡度大于预定值时确定为有障碍物。