Patent application number | Description | Published |
20080235165 | Weak hypothesis generation apparatus and method, learning aparatus and method, detection apparatus and method, facial expression learning apparatus and method, facial enpression recognition apparatus and method, and robot apparatus - A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired. In detection, using an abort threshold value that has been learned in advance, whether provided data can be obviously judged as a non-face is determined every time one weak hypothesis outputs the result of discrimination. If it can be judged so, processing is aborted. A predetermined Gabor filter is selected from the detected face image by an Adaboost technique, and a support vector for only a feature quantity extracted by the selected filter is learned, thus performing expression recognition. | 09-25-2008 |
20080247598 | Weak hypothesis generation apparatus and method, learning apparatus and method, detection apparatus and method, facial expression learning apparatus and method, facial expression recognition apparatus and method, and robot apparatus - A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired. In detection, using an abort threshold value that has been learned in advance, whether provided data can be obviously judged as a non-face is determined every time one weak hypothesis outputs the result of discrimination. If it can be judged so, processing is aborted. A predetermined Gabor filter is selected from the detected face image by an Adaboost technique, and a support vector for only a feature quantity extracted by the selected filter is learned, thus performing expression recognition. | 10-09-2008 |
20090041340 | Image Processing System, Learning Device and Method, and Program - The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section | 02-12-2009 |
20090060290 | FACE IMAGE PROCESSING APPARATUS, FACE IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - 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. | 03-05-2009 |
20090138418 | LEARNING CONTROL APPARATUS, LEARNING CONTROL METHOD, AND COMPUTER PROGRAM - A learning control apparatus for an autonomous agent including a functional module having a function of multiple inputs and multiple outputs, the function receiving at least one variable and outputting at least one value, includes an estimating unit for estimating a causal relationship of at least one variable, a grouping unit for grouping at least one variable into a variable group in accordance with the estimated causal relationship, a determining for determining a behavior variable corresponding to each of the variable groups, and a layering unit for layering, in accordance with the variable group and the behavior variable, the function corresponding to each variable group, the function receiving the variable grouped into the variable group and outputting the behavior variable. | 05-28-2009 |
20090175533 | INFORMATION PROCESSING APPARATUS AND METHOD, RECORDING MEDIUM, AND PROGRAM - In an information processing apparatus, such as a robot that discriminates human faces, nodes are hierarchically arranged in a tree structure. Each of the nodes has a number of weak classifiers. Each terminal node learns face images associated with one label. An upper node learns learning samples of all labels learned by lower nodes. When a window image to be classified is input, discrimination is performed sequentially from upper nodes to lower nodes. When it is determined that the window image does not correspond to a human face, discrimination by lower nodes is not performed, and discrimination proceeds to sibling nodes. | 07-09-2009 |
20090232363 | INFORMATION PROCESSING APPARATUS, METHOD, AND PROGRAM - An information processing apparatus includes: face detecting means for detecting the orientation of a face in a face image; weight distribution generating means for generating a weight distribution based on a statistical distribution of the position of a predetermined feature of the face in the face image according to the orientation of the face; first calculation means for calculating a first evaluation value for evaluating each of predetermined regions of the face image to determine whether the region is the predetermined feature of the face; and face feature identifying means for identifying the predetermined region as the predetermined feature of the face based on the first evaluation value and the weight distribution. | 09-17-2009 |
20100021066 | INFORMATION PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - An information processing apparatus includes a face detecting unit configured to detect a face in an image; a discriminating unit configured to discriminate an attribute of the face detected by the face detecting unit; a generating unit configured to generate, from the face detected by the face detecting unit and the attribute discriminated by the discriminating unit, a feature amount of the image; and a learning unit configured to learn, from the feature amount generated by the generating unit, information for discriminating whether the image corresponds to a predetermined scene. | 01-28-2010 |
20100318478 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes: a calculating unit configured to calculate a current-state series candidate that is a state series for an agent capable of actions reaching the current state, based on a state transition probability model obtained by performing learning of the state transition probability model stipulated by a state transition probability that a state will be transitioned according to each of actions performed by an agent capable of actions, and an observation probability that a predetermined observation value will be observed from the state, using an action performed by the agent, and an observation value observed at the agent when the agent performs an action; and a determining unit configured to determine an action to be performed next by the agent using the current-state series candidate in accordance with a predetermined strategy. | 12-16-2010 |
20100318479 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes: a learning section configured to learn a state transition probability model defined by state transition probability for each action of a state making a state transition due to an action performed by an agent capable of performing action and observation probability of a predetermined observed value being observed from the state, using an action performed by the agent and an observed value observed in the agent when the agent has performed the action. | 12-16-2010 |
20100329544 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus includes the following elements. A learning unit is configured to perform Adaptive Boosting Error Correcting Output Coding learning using image feature values of a plurality of sample images each being assigned a class label to generate a multi-class classifier configured to output a multi-dimensional score vector corresponding to an input image. A registration unit is configured to input a register image to the multi-class classifier, and to register a multi-dimensional score vector corresponding to the input register image in association with identification information about the register image. A determination unit is configured to input an identification image to be identified to the multi-class classifier, and to determine a similarity between a multi-dimensional score vector corresponding to the input identification image and the registered multi-dimensional score vector corresponding to the register image. | 12-30-2010 |
20100332229 | APPARATUS CONTROL BASED ON VISUAL LIP SHARE RECOGNITION - An information processing apparatus that includes an image acquisition unit to acquire a temporal sequence of frames of image data, a detecting unit to detect a lip area and a lip image from each of the frames of the image data, a recognition unit to recognize a word based on the detected lip images of the lip areas, and a controller to control an operation at the information processing apparatus based on the word recognized by the recognition unit. | 12-30-2010 |
20110010176 | HMM LEARNING DEVICE AND METHOD, PROGRAM, AND RECORDING MEDIUM - An HMM (Hidden Markov Model) learning device includes: a learning unit for learning a state transition probability as the function of actions that an agent can execute, with learning with HMM performed based on actions that the agent has executed, and time series information made up of an observation signal; and a storage unit for storing learning results by the learning unit as internal model data including a state-transition probability table and an observation probability table; with the learning unit calculating frequency variables used for estimation calculation of HMM state-transition and HMM observation probabilities; with the storage unit holding the frequency variables corresponding to each of state-transition probabilities and each of observation probabilities respectively, of the state-transition probability table; and with the learning unit using the frequency variables held by the storage unit to perform learning, and estimating the state-transition probability and the observation probability based on the frequency variables. | 01-13-2011 |
20110029465 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND PROGRAM - A data processing apparatus includes an obtaining unit configured to obtain time-series data from a wearable sensor, an activity model learning unit configured to learn an activity model representing a user activity state as a stochastic state transition model from the obtained time-series data, a recognition unit configured to recognize a current user activity state by using the activity model of the user obtained by the activity model learning unit, and a prediction unit configured to predict a user activity state after a predetermined time elapses from a current time from the current user activity state recognized by the recognition unit. | 02-03-2011 |
20110060709 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND PROGRAM - 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. | 03-10-2011 |
20110091071 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus including an image acquisition unit that acquires a target image; a face part extraction unit that extracts a face region including a face part from the target image; an identification unit that identifies a model face part by comparing the face part to a plurality of model face parts stored in a storage unit; and an illustration image determination unit that determines an illustration image corresponding to the identified model face part. | 04-21-2011 |
20110112997 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes a model learning unit that carries out learning for self-organization of internal states of a state transition prediction model which is a learning model having internal states, a transition model of the internal states, and an observation model where observed values are generated from the internal states, by using first time series data, wherein the model learning unit learns the observation model of the state transition prediction model after the learning using the first time series data, by fixing the transition model and using second time series data different from the first time series data, thereby obtaining the state transition prediction model having a first observation model where each sample value of the first time series data is observed and a second observation model where each sample value of the second time series data is observed. | 05-12-2011 |
20110137831 | LEARNING APPARATUS, LEARNING METHOD AND PROGRAM - A learning apparatus includes: an interpolating section which interpolates data missing in time series data; an estimating section which estimates a Hidden Markov Model from the time series data; and a likelihood calculating section which calculates the likelihood of the estimated Hidden Markov Model. The likelihood calculating section calculates the likelihood for normal data which does not have missing data and the likelihood for interpolation data which is interpolated data in different conditions and calculates the likelihood of the Hidden Markov Model for the time series data in which the data is interpolated. The estimating section updates the Hidden Markov Model so that the likelihood calculated by the likelihood calculating section becomes high. | 06-09-2011 |
20110137833 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD AND PROGRAM - 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. | 06-09-2011 |
20110137834 | LEARNING APPARATUS AND METHOD, PREDICTION APPARATUS AND METHOD, AND PROGRAM - A learning apparatus includes: a location acquiring section for acquiring time series data on locations of a user; a time acquiring section for acquiring time series data on times; and learning section for learning an activity model indicating an activity state of the user as a probabilistic state transition model, using the respective acquired time series data on the locations and the times as an input. | 06-09-2011 |
20110137835 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes an acquisition unit acquiring a viewing log including information representing content of an operation for viewing content and time of the operation, a learning unit learning, based on the viewing log acquired by the acquisition unit, a viewing behavior model which is a stochastic state transition model representing a viewing behavior of a user, a recognition unit recognizing, using the viewing behavior model obtained through learning by the learning unit, a current viewing state of the user, a prediction unit predicting, using the viewing behavior model, the viewing behavior of the user after a predetermined period of time with the current viewing state of the user recognized by the recognition unit as a starting point, and a display control unit displaying information relating to content predicted to be viewed through the viewing behavior predicted by the prediction unit. | 06-09-2011 |
20110249863 | INFORMATION PROCESSING DEVICE, METHOD, AND PROGRAM - An information processing device includes a face detection unit that detects a face area from a target image, a feature point detection unit that detects a feature point of the detected face area, a determination unit that determines an attention area that is an area to which attention is paid in the face area based on the detected feature point, a reference color extraction unit that extracts a reference color that is color setting obtained from the target image in the determined attention area, an adjustment unit that adjusts the extracted reference color to a color setting for a modified image generated from the target image as a base, and a generation unit that generates the modified image from the target image by drawing the attention area using the color setting for the modified image. | 10-13-2011 |
20110299731 | INFORMATION PROCESSING DEVICE AND METHOD, AND PROGRAM - 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. | 12-08-2011 |
20110302116 | DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM - 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. | 12-08-2011 |
20110305384 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus includes a first generation unit that generates learning images corresponding to a learning moving image, a first synthesis unit that generates a synthesized learning image such that a plurality of the learning images is arranged at a predetermined location and synthesized, a learning unit that computes a feature amount of the generated synthesized learning image, and performs statistical learning using the feature amount to generate a classifier, a second generation unit that generates determination images, a second synthesis unit that generates a synthesized determination image such that a plurality of the determination images is arranged at a predetermined location and synthesized, a feature amount computation unit that computes a feature amount of the generated synthesized determination image, and a determination unit that determines whether or not the determination image corresponds to a predetermined movement. | 12-15-2011 |
20110319094 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM - There is provided an information processing apparatus including: a positioning unit acquiring positioning information on a latitude and longitude showing a position of the positioning unit; a transmission unit transmitting a time-series log, which includes the positioning information acquired by the positioning unit, to a server; a reception unit receiving an activity model showing an activity state of a user, the activity model being obtained by a learning process carried out by the server based on the time-series log; a recognition unit recognizing a present activity state of the user using the positioning information acquired by the positioning unit and the activity model received by the reception unit; and a prediction unit predicting behavior of the user from the present activity state of the user recognized by the recognition unit. | 12-29-2011 |
20120057775 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes a feature amount extracting unit configured to extract the feature amount of each frame of an image of a content for detector learning of interest that is a content to be used for learning of a highlight detector which is a model for detecting a scene in which the user is interested as a highlight scene; a clustering unit configured to use cluster information that is the information of the cluster obtained by performing cluster learning; a highlight label generating unit configured to generate a highlight label sequence; and a highlight detector learning unit configured to perform learning of the highlight detector. | 03-08-2012 |
20120072141 | DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM - A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data. | 03-22-2012 |
20120084237 | DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM - A data processing device includes a state value calculation unit which calculates a state value of which the value increases as much as a state with a high transition probability for each state of the state transition model, an action value calculation unit which calculates an action value, of which the value increases as a transition probability increases for each state of the state transition model and each action that the agent can perform, a target state setting unit which sets a state with great unevenness in the action value among states of the state transition model to a target state that is the target to reach by action performed by the agent, and an action selection unit which selects an action of the agent so as to move toward the target state. | 04-05-2012 |
20120134577 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus includes: a distinguishing unit which, by using an ensemble classifier, which includes a plurality of weak classifiers outputting weak hypotheses which indicates whether a predetermined subject is shown in an image in response to inputs of a plurality of features extracted from the image, and a plurality of features extracted from an input image, sequentially integrates the weak hypotheses output by the weak classifiers in regard to the plurality of features and distinguishes whether the predetermined subject is shown in the input image based on the integrated value. The weak classifier classifies each of the plurality of features to one of three or more sub-divisions based on threshold values, calculates sum divisions of the sub-divisions of the plurality of features as whole divisions into which the plurality of features is classified, and outputs, as the weak hypothesis, a reliability degree of the whole divisions. | 05-31-2012 |
20120250981 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes a learning unit that performs, using an action performed by an object and an observation value of an image as learning data, learning of a separation learning model that includes a background model that is a model of the background of the image and one or more foreground model(s) that is a model of a foreground of the image, which can move on the background, in which the background model includes a background appearance model indicating the appearance of the background, and at least one among the one or more foreground model(s) includes a transition probability, with which a state corresponding to the position of the foreground on the background is transitioned by an action performed by the object corresponding to the foreground, for each action, and a foreground appearance model indicating the appearance of the foreground. | 10-04-2012 |
20120250982 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM, AND RECORDING MEDIUM - An image processing apparatus includes: an image feature outputting unit that outputs each of image features in correspondence with a time of the frame; a foreground estimating unit that estimates a foreground image at a time s by executing a view transform as a geometric transform on a foreground view model and outputs an estimated foreground view; a background estimating unit that estimates a background image at the time s by executing a view transform as a geometric transform on a background view model and outputs an estimated background view; a synthesized view generating unit that generates a synthesized view by synthesizing the estimated foreground and background views; a foreground learning unit that learns the foreground view model based on an evaluation value; and a background learning unit that learns the background view model based on the evaluation value by updating the parameter of the foreground view model. | 10-04-2012 |
20120313789 | INFORMATION PROCESSING APPARATUS AND METHOD, SERVER APPARATUS, SERVER APPARATUS CONTROL METHOD, AND PROGRAM - There is provided an information processing apparatus including a current waveform acquisition unit which acquires a current waveform from when a predetermined electric appliance is used, a communication unit which transmits the acquired current waveform of the electric appliance to a server apparatus, and receives control information on a character corresponding to the electric appliance from the server apparatus, and a display control unit which performs control of causing a predetermined display unit to display the character based on the received control information on the character. | 12-13-2012 |
20130018717 | INFORMATION PROCESSING APPARATUS, REBATE PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, REBATE PROCESSING METHOD, AND REBATE PROCESSING SYSTEMAANM Sabe; KohtaroAACI TokyoAACO JPAAGP Sabe; Kohtaro Tokyo JPAANM Iwama; TakashiAACI TokyoAACO JPAAGP Iwama; Takashi Tokyo JPAANM Kamitani; HiroshiAACI TokyoAACO JPAAGP Kamitani; Hiroshi Tokyo JPAANM Shimizu; OsamuAACI KanagawaAACO JPAAGP Shimizu; Osamu Kanagawa JPAANM Takiguchi; MasashiAACI TokyoAACO JPAAGP Takiguchi; Masashi Tokyo JP - An information processing apparatus includes an electric power related information obtaining unit mounted on or connected to equipment and configured to obtain electric power related information with regard to the equipment and a communication unit configured to transmit the electric power related information obtained by the electric power related information obtaining unit to a rebate processing apparatus connected via a network. A rebate processing apparatus includes a communication unit configured to receive electric power related information transmitted from an information processing apparatus mounted on or connected to equipment via the network, a rebate reference calculation unit configured to calculate a rebate reference functioning as a reference for a rebate processing on the basis of the electric power related information, and a rebate processing unit configured to perform a predetermined rebate processing on the basis of the rebate reference. | 01-17-2013 |
20130066816 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - 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. | 03-14-2013 |
20130148879 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus includes a network learning portion that performs learning of an appearance/position recognition network by constraining first to third weights and using a learning image, wherein the appearance/position recognition network has a foreground layer including a position node, a background layer including a background node, and an image layer including a pixel node, and is a neural network in which the position node, the background node, and the pixel node are connected to each other, and wherein the first weight is a connection weight between the position node and the pixel node, the second weight is a connection weight between the position node and the background node, and the third weight is a connection weight between the background node and the pixel node. | 06-13-2013 |
20130197890 | DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM - 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 | 08-01-2013 |
20130243331 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes: a foreground state estimating unit configured to estimate a foreground state of an image using an actual image which is an image to be actually observed; and a visible model updating unit configured to update a background visible model which is visibility of the background of an image and a foreground visible model which is visibility of the foreground using an estimation result of the foreground state. | 09-19-2013 |
20130275068 | DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM - A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data. | 10-17-2013 |
20140012495 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - 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. | 01-09-2014 |
20140114888 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - There is provided an information processing apparatus including a manipulation model learning unit configured to learn a manipulation model regarding manipulation of a first object by a second object, by use of an actual image that is an actually observed image including the first object and the second object, the manipulation model associating a position and a change in state of the second object, when a state of the second object changes at a position in an object reference coordinate system with the first object regarded as a reference, with a change in state of the first object caused by the change in state of the second object. | 04-24-2014 |
20140313332 | CONTROL DEVICE, CONTROL METHOD, AND COMPUTER PROGRAM - There is provided a control device including an image display unit configured to acquire, from a flying body, an image captured by an imaging device provided in the flying body and to display the image, and a flight instruction generation unit configured to generate a flight instruction for the flying body based on content of an operation performed with respect to the image captured by the imaging device and displayed by the image display unit. | 10-23-2014 |
20150039254 | DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM - A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data. | 02-05-2015 |
20150046135 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND PROGRAM - Apparatus, methods and programs for estimating a parameter for modeling a time series signal with stochastic dynamics model, A method for obtaining data representing the mixed signals of two or more time series signals; estimating a parameter for modeling a time series signal with stochastic dynamics model. The present technology relates to a data processing apparatus, a data processing method, and a program. | 02-12-2015 |
20150058276 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND PROGRAM - Devices, methods, and programs for monitoring electrical devices. A method for monitoring an electrical device may include obtaining data representing a sum of electrical signals of electrical devices; processing the data with a Factorial Hidden Markov Model (FHMM) to produce an estimate of an electrical signal of a first of the electrical devices; and outputting the estimate of the electrical signal of the first electrical device. The FHMM may have a factor corresponding to the first electrical device. The factor may have three or more states. | 02-26-2015 |