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41. 发明授权

US09285235B2 Information processing device, information processing method, and program 有权
标题翻译：信息处理装置，信息处理方法和程序
公开(公告)号：US09285235B2
公开(公告)日：2016-03-15
申请号：US14005648
申请日：2012-03-16
申请人： Naoki Ide , Yoshiyuki Kobayashi , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Yoshiyuki Kobayashi , Masato Ito , Kohtaro Sabe
IPC分类号： G01C21/00 , G01C21/36 , G01C21/34 , G06N5/00
CPC分类号： G01C21/3617 , G01C21/3484
摘要： The present technique relates to an information processing device, an information processing method and a program which can accumulate sufficient movement history data with a little power consumption. A similarity search unit searches for a past route similar to the immediate movement history which is acquired by a position sensor unit and which has time series position data, from the search data stored in a past history DB. A fitness determination unit determines whether or not goodness of fit of the past route searched by the similarity search unit and the immediate movement history is a predetermined threshold or more. A sensor control unit controls an acquisition interval of the position data of the position sensor unit according to a determination result of the fitness determination unit. The technique of this disclosure is applicable to a prediction device which, for example, acquires position data and predicts a predicted route.
摘要翻译：本技术涉及一种信息处理装置，信息处理方法和程序，其能够以少量功耗累积足够的运动历史数据。相似度搜索单元从存储在过去历史DB中的搜索数据中搜索类似于由位置传感器单元获取并具有时间序列位置数据的即时移动历史的过去路线。适应度确定单元确定由相似性搜索单元搜索的过去路线的适合度和即时移动历史是否为预定阈值以上。传感器控制单元根据适应度判定单元的确定结果控制位置传感器单元的位置数据的采集间隔。本公开的技术可应用于例如获取位置数据并预测预测路线的预测装置。

42. 发明申请

US20130197890A1 DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM 有权
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20130197890A1
公开(公告)日：2013-08-01
申请号：US13878920
申请日：2011-11-07
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , G01C21/3484 , G01C21/3617 , G01S5/0009 , G06F17/18 , G06F17/50 , G06N99/005 , G08G1/0129
摘要： The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction. With estimation of state node series, an observation probability less contribution of data than actual data is employed regarding interpolated data. The present invention may be applied to a data processing device configured to predict a destination from movement history data, for example.
摘要翻译：数据处理装置，数据处理方法和程序技术领域本发明涉及即使在实时获取的当前位置数据存在间隙的情况下也能进行预测的数据处理装置，数据处理方法和程序。学习主处理器23表示作为用于学习的数据的运动历史数据，作为表示用户的活动的概率模型，并且获得其参数。预测主处理器33使用通过学习获得的概率模型来实时地获得的移动历史数据来估计用户的当前位置。在要实时获取的移动历史数据中包含数据缺失部分的情况下，预测主处理器33通过内插处理生成其数据缺失部分，并且估计与用于预测的内插数据相对应的状态鼻序列。通过估计状态节点序列，对于内插数据采用数据比实际数据更少的观测概率。本发明可以应用于例如被配置为从移动历史数据预测目的地的数据处理装置。

43. 发明申请

US20130066816A1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM 审中-公开
标题翻译：信息处理设备，信息处理方法和程序
公开(公告)号：US20130066816A1
公开(公告)日：2013-03-14
申请号：US13561704
申请日：2012-07-30
申请人： Hideki SHIMOMURA , Kenta Kawamoto , Kohtaro Sabe
发明人： Hideki SHIMOMURA , Kenta Kawamoto , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G06N7/005
摘要： Provided is an information processing apparatus including a learning part performing learning of a model of an environment in which an agent performs action, using an observed value observed in the agent when the agent capable of action performs action, an action determining part determining action to be performed by the agent, based on the model, and a user instruction output part outputting instruction information representing an instruction from a user according to the instruction from the user, wherein the action determining part determines the action performed by the agent according to the instruction information when there is an instruction from the user.
摘要翻译：提供了一种信息处理装置，其包括：学习部，执行对代理执行动作的环境的模型的学习，使用在所述代理能够行动的动作时观察到的观察值执行动作，动作确定部确定动作为基于该模型执行的代理，以及用户指令输出部，根据来自用户的指示输出表示来自用户的指示的指示信息，其中动作确定部根据指示信息来确定代理执行的动作当有来自用户的指令时。

44. 发明授权

US08331616B2 Face image processing apparatus, face image processing method, and computer program 失效
标题翻译：面部图像处理装置，面部图像处理方法和计算机程序
公开(公告)号：US08331616B2
公开(公告)日：2012-12-11
申请号：US12191610
申请日：2008-08-14
申请人： Kohtaro Sabe , Atsushi Okubo , Jun Yokono
发明人： Kohtaro Sabe , Atsushi Okubo , Jun Yokono
IPC分类号： G06K9/00
CPC分类号： G06K9/00248
摘要： A face image processing apparatus selects feature points and feature for identifying a person through statistical learning. The apparatus includes input means for inputting a face image detected by arbitrary face detection means, face parts detection means for detecting the positions of face parts in several locations from the input face image, face pose estimation means for estimating face pose based on the detected positions of face parts, feature point position correcting means for correcting the position of each feature point used for identifying the person based on the result of estimation of face pose by the face pose estimation means, and face identifying means for identifying the person by calculating a feature of the input face image at each feature point after position correction is performed by the feature point position correcting means and checking the feature against a feature of a registered face.
摘要翻译：面部图像处理装置通过统计学习选择特征点和特征来识别人。该装置包括用于输入由任意面部检测装置检测到的面部图像的输入装置，用于从输入面部图像检测几个位置中的面部部分的位置的面部部位检测装置，基于检测位置估计面部姿势的面部姿势估计装置特征点位置校正装置，用于根据面部姿势估计装置的面部姿势的估计结果校正用于识别人的每个特征点的位置，以及面部识别装置，用于通过计算特征来识别人物通过特征点位置校正装置执行位置校正之后的每个特征点处的输入面部图像，并针对登记面部的特征检查特征。

45. 发明申请

US20110302116A1 DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110302116A1
公开(公告)日：2011-12-08
申请号：US13116940
申请日：2011-05-26
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G08G1/096844 , G01C21/3484 , G06N20/00
摘要： A data processing device including a learning section which expresses user movement history data obtained as learning data as a probability model which expresses activities of a user and learns parameters of the model; a destination and stopover estimation section which estimates a destination node and a stopover node from state nodes of the probability model; a current location estimation section which inputs the user movement history data in the probability model and estimates a current location node which is equivalent to the current location of the user; a searching section which searches for a route from the current location of the user to a destination using information on the estimated destination node and stopover node and the current location node and the probability model obtained by learning; and a calculating section which calculates an arrival probability and a necessary time to the searched destination.
摘要翻译：一种数据处理装置，包括学习部，其将作为学习数据获取的用户移动历史数据表示为表示用户的活动并学习模型的参数的概率模型; 目的地和中途停留估计部，其从所述概率模型的状态节点估计目的地节点和中途停止节点; 当前位置估计部分，其输入概率模型中的用户移动历史数据，并估计与当前用户的当前位置相当的当前位置节点; 搜索部，其使用关于所估计的目的地节点和中继节点以及当前位置节点的信息和通过学习获得的概率模型来搜索从用户的当前位置到目的地的路线; 以及计算部分，其计算到所搜索到的目的地的到达概率和必要时间。

46. 发明申请

US20110299731A1 INFORMATION PROCESSING DEVICE AND METHOD, AND PROGRAM 有权
标题翻译：信息处理设备和方法，程序
公开(公告)号：US20110299731A1
公开(公告)日：2011-12-08
申请号：US13116412
申请日：2011-05-26
申请人： Jun Yokono , Kohtaro Sabe
发明人： Jun Yokono , Kohtaro Sabe
IPC分类号： G06K9/00
CPC分类号： G06K9/6257 , G06K9/00791 , G06K2009/4666
摘要： An information processing device includes a first calculation unit which calculates a score of each sample image including a positive image in which an object as an identification object is present and a negative image in which the object as the identification object is not present, for each weak identifier of an identifier including a plurality of weak identifiers, a second calculation unit which calculates the number of scores when the negative image is processed, which are scores less than a minimum score among scores when the positive image is processed; and an realignment unit which realigns the weak identifiers in order from a weak identifier in which the number calculated by the second calculation unit is a maximum.
摘要翻译：一种信息处理设备，包括：第一计算单元，其计算包含其中存在作为识别对象的对象的正图像和不存在作为识别对象的对象的负图像的每个样本图像的得分，对于每个弱标识符包括多个弱标识符的标识符;第二计算单元，当处理正图像时，计算负图像处理时的得分数，该分数小于分数中的最小得分; 以及重新排列单元，其从由第二计算单元计算的数量最大的弱识别符依次重新排列弱标识符。

47. 发明申请

US20110137833A1 DATA PROCESSING APPARATUS, DATA PROCESSING METHOD AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110137833A1
公开(公告)日：2011-06-09
申请号：US12954194
申请日：2010-11-24
申请人： Naoki IDE , Masato Ito , Kohtaro Sabe
发明人： Naoki IDE , Masato Ito , Kohtaro Sabe
IPC分类号： G06N5/02 , G06F15/18
CPC分类号： G06N7/005
摘要： The data processing apparatus includes a state series generation unit and a computing unit. The state series generation unit generates a time series data of state nodes from a time series data of event. The state transition model of the event is expressed as a stochastic state transition model. The computing unit computes the parameters for the stochastic state transition model of events by computing parameters of time series data corresponding to an appearance frequency of the state nodes, the appearance frequency of transitions among the state nodes and the like.
摘要翻译：数据处理装置包括状态序列生成单元和计算单元。状态序列生成单元根据事件的时间序列数据生成状态节点的时间序列数据。事件的状态转换模型表示为随机状态转换模型。计算单元通过计算与状态节点的出现频率相对应的时间序列数据的参数，状态节点之间的转换的出现频率等来计算事件的随机状态转换模型的参数。

48. 发明申请

US20110060709A1 DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110060709A1
公开(公告)日：2011-03-10
申请号：US12874553
申请日：2010-09-02
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G01C21/3484
摘要： A data processing apparatus includes an action learning unit configured to train a user activity model representing activity states of a user in the form of a probabilistic state transition model using time-series location data items of the user, an action recognizing unit configured to recognize a current location of the user using the user activity model obtained through the action learning unit, an action estimating unit configured to estimate a possible route for the user from the current location recognized by the action recognizing unit and a selection probability of the route, and a travel time estimating unit configured to estimate an arrival probability of the user arriving at a destination and a travel time to the destination using the estimated route and the estimated selection probability.
摘要翻译：一种数据处理装置，包括动作学习单元，被配置为使用表示使用者的时间序列位置数据项的概率状态转换模型的形式表示用户的活动状态的用户活动模型，动作识别单元，使用通过动作学习单元获取的用户活动模型的用户的当前位置，动作估计单元，被配置为从动作识别单元识别的当前位置和路线的选择概率来估计用户的可能路线，以及旅行时间估计单元，被配置为使用所估计的路线和估计的选择概率来估计到达目的地的用户的到达概率和到达目的地的行进时间。

49. 发明授权

US07849033B2 Learning control apparatus, learning control method, and computer program 失效
标题翻译：学习控制装置，学习控制方法和计算机程序
公开(公告)号：US07849033B2
公开(公告)日：2010-12-07
申请号：US11350048
申请日：2006-02-09
申请人： Kohtaro Sabe , Kenichi Hidai
发明人： Kohtaro Sabe , Kenichi Hidai
IPC分类号： G06F15/18 , G06N3/08
CPC分类号： G05B13/0265
摘要： A learning control apparatus for controlling a learning operation of an apparatus sensing a state of an environment and selecting a behavior based on the sensed content, includes a predictor for learning the behavior and a change in the state of the environment, and predicting a change in the state of the environment in response to a predetermined behavior, a goal state setting unit for setting a goal state in the behavior, a planner for planning a behavior sequence from a current state to the goal state set by the goal state setting unit based on a prediction of the predictor, and a controller for controlling the behavior in the behavior sequence planned by the planning unit and learning an input and output relationship in the behavior.
摘要翻译：一种学习控制装置，用于控制感测环境状态的装置的学习操作，并且基于感测到的内容选择行为，包括用于学习行为和环境状态变化的预测器，以及预测变化响应于预定行为的环境状态，用于设置行为中的目标状态的目标状态设置单元，用于根据目标状态设置单元基于目标状态设置单元设置的目标状态来规划行为序列的计划器预测器的预测，以及用于控制由规划单元计划的行为序列中的行为并且学习行为中的输入和输出关系的控制器。

50. 发明授权

US07627178B2 Image recognition device using feature points, method for recognizing images using feature points, and robot device which recognizes images using feature points 有权
标题翻译：使用特征点的图像识别装置，使用特征点识别图像的方法，以及使用特征点识别图像的机器人装置
公开(公告)号：US07627178B2
公开(公告)日：2009-12-01
申请号：US10517615
申请日：2004-04-22
申请人： Hirotaka Suzuki , Kohtaro Sabe , Masahiro Fujita
发明人： Hirotaka Suzuki , Kohtaro Sabe , Masahiro Fujita
IPC分类号： G06K9/46
CPC分类号： G06K9/6212 , G06K9/4609 , G06K9/6211 , G06T7/73
摘要： In an image recognition apparatus, feature point extraction sections and extract feature points from a model image and an object image. Feature quantity retention sections extract a feature quantity for each of the feature points and retain them along with positional information of the feature points. A feature quantity comparison section compares the feature quantities with each other to calculate the similarity or the dissimilarity and generates a candidate-associated feature point pair having a high possibility of correspondence. A model attitude estimation section repeats an operation of projecting an affine transformation parameter determined by three pairs randomly selected from the candidate-associated feature point pair group onto a parameter space. The model attitude estimation section assumes each member in a cluster having the largest number of members formed in the parameter space to be an inlier. The model attitude estimation section finds the affine transformation parameter according to the least squares estimation using the inlier and outputs a model attitude determined by this affine transformation parameter.
摘要翻译：在图像识别装置中，特征点提取部分并从模型图像和对象图像中提取特征点。特征量保留部分提取每个特征点的特征量，并将其与特征点的位置信息一起保留。特征量比较部分将特征量彼此进行比较以计算相似度或相似性，并生成具有高对应可能性的候选相关特征点对。模型姿态估计部重复将从候选关联特征点对组中随机选择的三对决定的仿射变换参数投影到参数空间的动作。模型姿态估计部分假设在参数空间中形成的具有最大数量的成员的群组中的每个成员是一个较早的。模型姿态估计部根据使用该误差的最小二乘估计求出仿射变换参数，并输出由该仿射变换参数确定的模型姿态。

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