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    • 1. 发明授权
    • Apparatus and method for detecting object
    • 用于检测物体的装置和方法
    • US08094884B2
    • 2012-01-10
    • US12390745
    • 2009-02-23
    • Tsuyoshi NakanoSusumu KubotaYasukazu Okamoto
    • Tsuyoshi NakanoSusumu KubotaYasukazu Okamoto
    • G06K9/00H04N5/225
    • G06K9/00785G06T7/248G06T2207/10021G06T2207/30236
    • A disparity profile indicating a relation between a perpendicular position on time series images and a disparity on a target monitoring area based on an arrangement of a camera is calculated. Processing areas are set, by setting a height of each of the processing areas using a length at the bottom of the image obtained by converting a reference value of a height of an object according to the profile, while setting a position of each bottom of processing areas on the image. An object having a height higher than a certain height with respect to the monitoring area, unify an object detection result in each processing area according to the disparity of the object, and detect the object of the whole monitoring area from each processing area is detected. Position and speed for the object detected by the object primary detection unit are estimated.
    • 计算出基于相机的布置的时间序列图像上的垂直位置与目标监视区域上的视差之间的关系的视差轮廓。 通过使用通过根据轮廓转换对象的高度的参考值而获得的图像的底部的长度来设置每个处理区域的高度,同时设置每个处理区域的每个底部的位置 图像上的区域。 相对于监视区域具有高于某一高度的高度的物体,根据物体的不一致性,将每个处理区域中的物体检测结果统一起来,并检测来自每个处理区域的整个监视区域的对象。 估计由对象主检测单元检测到的对象的位置和速度。
    • 2. 发明申请
    • APPARATUS AND METHOD FOR DETECTING OBJECT
    • 检测对象的装置和方法
    • US20090214081A1
    • 2009-08-27
    • US12390745
    • 2009-02-23
    • Tsuyoshi NAKANOSusumu KubotaYasukazu Okamoto
    • Tsuyoshi NAKANOSusumu KubotaYasukazu Okamoto
    • G06K9/00
    • G06K9/00785G06T7/248G06T2207/10021G06T2207/30236
    • A disparity profile indicating a relation between a perpendicular position on time series images and a disparity on a target monitoring area based on an arrangement of a camera is calculated. Processing areas are set, by setting a height of each of the processing areas using a length at the bottom of the image obtained by converting a reference value of a height of an object according to the profile, while setting a position of each bottom of processing areas on the image. An object having a height higher than a certain height with respect to the monitoring area, unify an object detection result in each processing area according to the disparity of the object, and detect the object of the whole monitoring area from each processing area is detected. Position and speed for the object detected by the object primary detection unit are estimated.
    • 计算出基于相机的布置的时间序列图像上的垂直位置与目标监视区域上的视差之间的关系的视差轮廓。 通过使用通过根据轮廓转换对象的高度的参考值而获得的图像的底部的长度来设置每个处理区域的高度,同时设置每个处理区域的每个底部的位置 图像上的区域。 相对于监视区域具有高于一定高度的高度的物体,根据物体的不一致性,将每个处理区域中的物体检测结果统一起来,并且检测来自每个处理区域的整个监视区域的对象。 估计由对象主检测单元检测到的对象的位置和速度。
    • 3. 发明申请
    • Obstacle tracking apparatus and method
    • 障碍物追踪装置及方法
    • US20070211917A1
    • 2007-09-13
    • US11598734
    • 2006-11-14
    • Tsuyoshi NakanoSusumu Kubota
    • Tsuyoshi NakanoSusumu Kubota
    • G06K9/00
    • G06T7/20G06K9/00805G06K9/32
    • An obstacle tracking apparatus includes an image input unit which acquires image sequences; an obstacle detector which detects candidate areas of an obstacle at a current time from the image sequences; a state hypothesis storage which stores a state hypothesis group including at least one state hypothesis of the obstacle at a previous time; an measurement hypothesis generator which generates a measurement hypothesis group including at least one measurement hypothesis obtained by combining measurement hypotheses for the respective positions of candidate areas of the obstacle and a measurement hypothesis in case the obstacle is not detected; a likelihood calculator which calculates likelihoods of respective combinations of the respective state hypotheses included in the state hypothesis group and the respective measurement hypotheses included in the measurement hypothesis group; a state hypothesis updater which obtains a highest likelihood from the likelihoods of the respective combinations and updates the state hypotheses at the previous time stored in the state hypothesis storage using the state hypothesis group at the current time as the state hypothesis group having the highest likelihood; and a hypothesis selector which selects the state hypothesis having the highest likelihood from the state hypothesis group at the current time as a state in which the obstacle is detected.
    • 障碍物跟踪装置包括获取图像序列的图像输入单元; 障碍物检测器,从图像序列检测当前时刻的障碍物的候补区域; 状态假设存储器,其存储在先前时间包括障碍物的至少一个状态假设的状态假设组; 测量假设生成器,其生成测量假设组,所述测量假设组包括通过组合用于障碍物的候选区域的各个位置的测量假设获得的至少一个测量假设以及在未检测到障碍物的情况下的测量假设; 计算包括在状态假设组中的各状态假设和测量假设组中包括的相应测量假设的各个组合的似然度的似然度计算器; 状态假设更新器,其从相应组合的似然性获得最高可能性,并使用当前时间的状态假设组来更新存储在状态假设存储器中的先前时间的状态假设作为具有最高可能性的状态假设组; 以及假设选择器,其将当前时间的状态假设组选择具有最高可能性的状态假设作为检测障碍物的状态。
    • 4. 发明授权
    • Recognition device, recognition method, and computer program product
    • 识别装置,识别方法和计算机程序产品
    • US09002101B2
    • 2015-04-07
    • US13420833
    • 2012-03-15
    • Tomohiro NakaiToshimitsu KanekoSusumu KubotaSatoshi ItoTatsuo Kozakaya
    • Tomohiro NakaiToshimitsu KanekoSusumu KubotaSatoshi ItoTatsuo Kozakaya
    • G06K9/00G06K9/62
    • G06K9/6256G06K9/00G06K9/6262G06K2209/17
    • According to an embodiment, a recognition device includes a generation unit to select, plural times, groups each including learning samples from a storage unit, learn a classification metric for classifying the groups selected in each selection, and generate an evaluation metric including the classification metrics; a transformation unit to transform a first feature value of an image including an object into a second feature value using the evaluation metric; a calculation unit to calculate similarities of the object to categories in a table using the second feature value and reference feature values; and a registration unit to register the second feature value as the reference feature value in the table associated with the category of the object and register the first feature value as the learning sample belonging to the category of the object in the storage unit. The generation unit performs the generation again.
    • 根据实施例,识别装置包括生成单元,用于多次选择包括来自存储单元的学习样本的组,学习用于对在每个选择中选择的组进行分类的分类度量,并生成包括分类度量的评估度量 ; 变换单元,使用所述评估度量将包括对象的图像的第一特征值变换为第二特征值; 计算单元,用于使用第二特征值和参考特征值来计算表中的对象与类别的相似度; 以及注册单元,用于将所述第二特征值注册为与所述对象的类别相关联的表中的参考特征值,并将所述第一特征值注册为属于所述存储单元中的对象的类别的学习样本。 生成单元再次执行生成。
    • 5. 发明授权
    • Touch panel apparatus, control apparatus and control method
    • 触控面板装置,控制装置及控制方法
    • US08890820B2
    • 2014-11-18
    • US13298428
    • 2011-11-17
    • Satoshi ItoSusumu Kubota
    • Satoshi ItoSusumu Kubota
    • G09G5/00G06F3/041G06F3/045
    • G06F3/045G06F3/0416
    • According to an embodiment, a control apparatus controls a touch panel includes a first resistive film includes a first terminal and a second terminal and a second resistive film includes a third terminal and a fourth terminal, the first and second resistive films being laid on top of each other with a gap between the resistive films. The control apparatus comprises an application unit, a measurement unit and a calculation unit. The application unit is configured to apply a voltage between the first terminal and the second terminal at a first timing. The measurement unit is configured to measure a voltage of each of the third and fourth terminals at the first timing. The calculation unit is configured to derive a positional relationship between two points at which the touch panel has been touched based on the voltages of the third and fourth terminals measured at the first timing.
    • 根据实施例,控制装置控制触摸面板包括第一电阻膜,其包括第一端子和第二端子,第二电阻膜包括第三端子和第四端子,所述第一和第二电阻膜位于 彼此具有电阻膜之间的间隙。 控制装置包括应用单元,测量单元和计算单元。 应用单元被配置为在第一定时在第一终端和第二终端之间施加电压。 测量单元被配置为在第一定时测量第三和第四端子中的每一个的电压。 计算单元被配置为基于在第一定时测量的第三和第四终端的电压来导出触摸面板已经被触摸的两个点之间的位置关系。
    • 6. 发明授权
    • Method for producing phenolic resin
    • 生产酚醛树脂的方法
    • US5336752A
    • 1994-08-09
    • US10603
    • 1993-01-28
    • Fumiaki OshimiSusumu KubotaMasami EnomotoYutaka Otsuki
    • Fumiaki OshimiSusumu KubotaMasami EnomotoYutaka Otsuki
    • C08G8/08C08G8/00C08G59/08C08G61/00C08G61/02H01L23/29H01L23/31H05K1/03C08G63/78C08G63/87
    • C08G61/00H05K1/0373
    • A method is provided for producing a phenolic resin represented by the formula (I) ##STR1## wherein R.sup.1 is a hydrogen atom or an alkyl group having 1 to 4 carbon atoms, R.sup.2 is a divalent cyclic hydrocarbon residue having 5 to 18 carbon atoms, p is a number of from 0 to 10 and q is a number of 1 or 2. The method involves reacting a phenol with an unsaturated cyclic hydrocarbon compound having two or more carbon-carbon double bonding in the presence of an acid catalyst; and processing a resulting reaction product by a hydrotalcite compound represented by the formula (II)M.sub.1-x.sup.2+ M.sub.x.sup.3+ (OH).sub.2+x-ny A.sub.y.sup.n-.m(H.sub.2 O)(II)where M.sup.2+ is a divalent, magnesium ion, a divalent zinc ion, a divalent calcium ion, a divalent nickel ion, a divalent cobalt ion, a divalent manganese ion or a divalent copper ion, M.sup.3+ is a trivalent aluminum ion, a trivalent iron ion or a trivalent chromium ion, A.sup.n- is HCO.sub.3.sup.-, CO.sub.3.sup.2- or OH.sup.-, and x, y and m each are 0.1
    • 提供了一种制备由式(I)表示的酚醛树脂的方法,其中R1是氢原子或具有1-4个碳原子的烷基,R2是具有5至18个碳原子的二价环状烃残基 碳原子,p为0至10的数,q为1或2的数。该方法包括在酸催化剂存在下使苯酚与具有两个或更多个碳 - 碳双键的不饱和环烃化合物反应 ; 和由式(II)表示的水滑石化合物M1-x2 + Mx3 +(OH)2 + x-nYAyn-m(H2O)(Ⅱ)处理得到的反应产物,其中M2 +是二价的镁离子,二价 锌离子,二价钙离子,二价镍离子,二价钴离子,二价锰离子或二价铜离子,M3 +为三价铝离子,三价铁离子或三价铬离子,An-为HCO 3 - ,CO32-或OH-,x,y和m分别为0.1
    • 7. 发明申请
    • LINER TRANSFORMATION MATRIX CALCULATING APPARATUS, METHOD THEREOF AND PROGRAM THEREOF
    • 线性变换矩阵计算装置及其方法及程序
    • US20100195917A1
    • 2010-08-05
    • US12558817
    • 2009-09-14
    • Susumu KubotaTomokazu Kawahara
    • Susumu KubotaTomokazu Kawahara
    • G06K9/68
    • G06K9/624
    • A linear transformation matrix calculating apparatus linearly transforms a plurality of dictionary subspaces which belong to respective categories by a linear transformation matrix respectively, selects a plurality of sets of two dictionary subspaces from the plurality of linearly transformed dictionary subspaces, calculates a loss function using similarities among the selected sets of dictionary subspaces respectively, calculates a differential parameter obtained by differentiating the loss function by the linear transformation matrix, calculates a new linear transformation matrix from the differential parameter and the linear transformation matrix by Deepest Descent Method, and updates the new linear transformation matrix as the linear transformation matrix used in the linear transformation unit.
    • 线性变换矩阵计算装置分别通过线性变换矩阵线性变换属于各个类别的多个字典子空间,从多个线性变换的字典子空间中选择多组两个字典子空间,使用相似度计算损失函数 分别选择的字典子空间集合计算通过线性变换矩阵对损失函数进行微分获得的差分参数,通过深度下降法从差分参数和线性变换矩阵计算新的线性变换矩阵,并更新新的线性变换 矩阵作为在线性变换单元中使用的线性变换矩阵。
    • 8. 发明申请
    • APPARATUS AND METHOD FOR TRACKING IMAGE
    • 跟踪图像的装置和方法
    • US20100034464A1
    • 2010-02-11
    • US12535765
    • 2009-08-05
    • Satoshi ItoSusumu KubotaTsukasa IkeTatsuo KozakayaTomoyuki Takeguchi
    • Satoshi ItoSusumu KubotaTsukasa IkeTatsuo KozakayaTomoyuki Takeguchi
    • G06K9/46G06K9/62
    • G06K9/6231
    • An image processing apparatus includes a classification unit configured to extract N features from an input image using pre-generated N feature extraction units and calculate confidence value which represents object-likelihood based on the extracted N features, an object detection unit configured to detect an object included in the input image based on the confidence value, a feature selection unit configured to select M feature extraction units from the N feature extraction units such that separability between the confidence value of the object and that of background thereof becomes greater than a case where the N feature extraction units are used, the M being a positive integer smaller than N, and an object tracking unit configured to extract M features from the input image and tracks the object using the M features selected by the feature selection unit.
    • 一种图像处理装置,包括:分类单元,被配置为使用预先生成的N个特征提取单元从输入图像中提取N个特征,并且基于所提取的N个特征计算表示对象似然的置信度值;对象检测单元,被配置为检测对象 被配置为从所述N个特征提取单元中选择M个特征提取单元,使得所述对象的置信度与其背景的置信度之间的可分离性变得大于所述对象的所述背景的情况,所述特征选择单元被配置为基于所述置信度值包含在所述输入图像中, 使用N个特征提取单元,M是小于N的正整数,以及对象跟踪单元,被配置为从输入图像中提取M个特征,并使用由特征选择单元选择的M个特征来跟踪对象。