Abstract: According to an embodiment, a data management system includes an index building unit and a searching unit. The index building unit generates a peripheral vector similar to a case example vector representing a feature vector of data to be stored, and builds index information of enabling identification of the case example vector corresponding to the generated peripheral vector. The searching unit refers to the index information in response to a search request in which a query vector representing an arbitrary feature vector is specified, identifies the case example vector corresponding to the peripheral vector that exactly matches with the query vector, and outputs a search result based on the identified case example vector.

Abstract: An information processing device includes a definer, a determiner, and a reinforcement learner. The definer is configured to associate a node and an edge with attributes and to define a convolution function associated with a model representing data of a graph structure representing a system structure on the basis of data regarding the graph structure. The evaluator is configured to input a state of the system into the model. The evaluator is configured to obtain, for each time step, a policy function as a probability distribution of a structural change and a state value function for reinforcement learning for a system of one or more structurally changed models which have been changed with assumable structural changes from the model for each time step. The evaluator is configured to evaluate the structural changes in the system on the basis of the policy function.

Abstract: According to an embodiment, an image output device includes an extractor, a search unit, an associate unit, and a controller. The extractor is configured to extract a first parameter that varies in accordance with a movement of an object from at least one first image of the object, and extract a second parameter that varies in accordance with a movement of the object from each second image of the object. The search unit is configured to search for a second parameter similar to the first parameter. The associate unit is configured to associate the first image from which the first parameter is extracted with the second image from which the second parameter that is retrieved with respect to the first parameter is extracted. The controller is configured to instruct an output unit to output an image based on the first and second images that are associated to each other.

Abstract: According to an embodiment, a data management system includes an index building unit and a searching unit. The index building unit generates a peripheral vector similar to a case example vector representing a feature vector of data to be stored, and builds index information of enabling identification of the case example vector corresponding to the generated peripheral vector. The searching unit refers to the index information in response to a search request in which a query vector representing an arbitrary feature vector is specified, identifies the case example vector corresponding to the peripheral vector that exactly matches with the query vector, and outputs a search result based on the identified case example vector.

Abstract: A detector in embodiments includes a processor. The processor acquires an image including a face of a person. The processor acquirer depth information of the face in the image from a distance measuring module. The processor sets a deficient area indicating an area where the depth information fails to be acquired. The processor detects the face area from the image. The processor acquires a reference image generated based on a probability set to the deficient area in the image, and calculates a degree of similarity between the face area where the deficient area is set and the reference image. The processor determines whether the image is impersonation based on the degree of similarity.

Abstract: An image processing method includes: retaining marker information including markers, each of the markers having a type which is shape, pattern or color; acquiring images in which at least one of the markers is caught; referring the marker information to detect the type and a position of the marker caught in the image; and dividing the image into a plurality of divided areas on the basis of the positions of one or more markers in the image, the plurality of divided areas having no common area and each including at least one type of the marker.

Abstract: A detector in embodiments includes a processor. The processor acquires an image including a face of a person. The processor acquirer depth information of the face in the image from a distance measuring module. The processor sets a deficient area indicating an area where the depth information fails to be acquired. The processor detects the face area from the image. The processor acquires a reference image generated based on a probability set to the deficient area in the image, and calculates a degree of similarity between the face area where the deficient area is set and the reference image. The processor determines whether the image is impersonation based on the degree of similarity.

Abstract: There is provided a traffic control apparatus including: an image input unit configured to input an image including a face of a user; a face detecting unit configured to detect a face area of the user from the image; a generating unit configured to obtain a difference between a state of the detected face area and a state of a optimal face area, and generate presentation information for instructing the user to move his or her face to a position suitable for the face recognition when the difference is large; and a noticing unit having a plurality of keys arranged in a matrix pattern, and configured to illuminate, blink, or extinguish one or the plurality of keys for specifying the position that the face is to be moved to on the basis of the presentation information.

Abstract: According to an embodiment, an image output device includes an extractor, a search unit, an associate unit, and a controller. The extractor is configured to extract a first parameter that varies in accordance with a movement of an object from at least one first image of the object, and extract a second parameter that varies in accordance with a movement of the object from each second image of the object. The search unit is configured to search for a second parameter similar to the first parameter. The associate unit is configured to associate the first image from which the first parameter is extracted with the second image from which the second parameter that is retrieved with respect to the first parameter is extracted. The controller is configured to instruct an output unit to output an image based on the first and second images that are associated to each other.

Abstract: According to one embodiment, a system includes a portable device, a plurality of second image capturing units, an extraction unit, a calculation unit, and a specifying unit. The portable device includes a first image capturing unit that captures a first image of a person, and a sending unit that sends the first image. The plurality of second image capturing units captures second images. The extraction unit extracts a first feature of the first image and a second feature of each of the second images. The calculation unit calculates a similarity based on the first feature and the second feature of the each of the second images. If the similarity for a second image is larger than a predetermined threshold, the specifying unit specifies a second image capturing unit that has captured the second image, among the plurality of second image capturing units.

Abstract: An image processing method includes: retaining marker information including markers, each of the markers having a type which is shape, pattern or color; acquiring images in which at least one of the markers is caught; referring the marker information to detect the type and a position of the marker caught in the image; and dividing the image into a plurality of divided areas on the basis of the positions of one or more markers in the image, the plurality of divided areas having no common area and each including at least one type of the marker.

Abstract: There is provided a traffic control apparatus including: an image input unit configured to input an image including a face of a user; a face detecting unit configured to detect a face area of the user from the image; a generating unit configured to obtain a difference between a state of the detected face area and a state of a optimal face area, and generate presentation information for instructing the user to move his or her face to a position suitable for the face recognition when the difference is large; and a noticing unit having a plurality of keys arranged in a matrix pattern, and configured to illuminate, blink, or extinguish one or the plurality of keys for specifying the position that the face is to be moved to on the basis of the presentation information.

Abstract: There is provided a traffic control apparatus including: an image input unit configured to input an image including a face of a user; a face detecting unit configured to detect a face area of the user from the image; a generating unit configured to obtain a difference between a state of the detected face area and a state of a optimal face area, and generate presentation information for instructing the user to move his or her face to a position suitable for the face recognition when the difference is large; and a noticing unit having a plurality of keys arranged in a matrix pattern, and configured to illuminate, blink, or extinguish one or the plurality of keys for specifying the position that the face is to be moved to on the basis of the presentation information.

Abstract: An image processing apparatus includes a receiver, a registration section, a determination section, and a controller. The receiver receives broadcast waves including signals of a plurality of channels. The registration section registers a recognition target. The determination section determines whether or not the recognition target, registered in the registration section, exists in a frame of an image including the signals of the plurality of channels included in the broadcast waves received by the receiver. The controller sequentially switches, in accordance with a determination result obtained by the determination section, the plurality of channels received by the receiver.

Abstract: There is provided a traffic control apparatus including: an image input unit configured to input an image including a face of a user; a face detecting unit configured to detect a face area of the user from the image; a generating unit configured to obtain a difference between a state of the detected face area and a state of a optimal face area, and generate presentation information for instructing the user to move his or her face to a position suitable for the face recognition when the difference is large; and a noticing unit having a plurality of keys arranged in a matrix pattern, and configured to illuminate, blink, or extinguish one or the plurality of keys for specifying the position that the face is to be moved to on the basis of the presentation information.

Abstract: An image processing apparatus includes a receiver, a registration section, a determination section, and a controller. The receiver receives broadcast waves including signals of a plurality of channels. The registration section registers a recognition target. The determination section determines whether or not the recognition target, registered in the registration section, exists in a frame of an image including the signals of the plurality of channels included in the broadcast waves received by the receiver. The controller sequentially switches, in accordance with a determination result obtained by the determination section, the plurality of channels received by the receiver.

Abstract: According to one embodiment, an image processing device includes a readiness determining unit configured to determine whether or not a state of a face image included in an image at one time out of images obtained at a plurality of different times is a ready state that satisfies a condition for performing three-dimensionality determination, three-dimensionality determination is determining whether the object is three-dimensional or not; an initiation determining unit configured to determine whether or not a state of a face image included in an image at different time from the image at the one time is an initiation state changed from the ready state; and a first three-dimensionality determining unit configured to perform the three-dimensionality determination on the face images included in the images when it is determined that the state is the initiation state.

Abstract: A face recognition apparatus includes an image sequence acquiring unit, a face image acquiring unit, an intra-sequence classifying unit, an inter-sequence classifying unit, an identification unit, and a reference image storing unit. A plurality of cameras are attached in a corridor for monitoring one place with these cameras, so that when a plurality of moving people pass through, identification is performed for each moving people. Face images are classified into fragmental face image sets, and the fragmental face image sets are classified into integrated sets to achieve the identification.

Abstract: An image input unit configured to enter a face image, a search area and scale setting unit configured to set a search area and a scale, an image feature point detection unit configured to detect image feature points selected from local image information of respective points, a first dictionary storing coordinates of the relative position between the image feature points and a target feature point in association with peripheral patterns of the image feature points, a first pattern matching unit configured to match the first dictionary and the peripheral patterns of the image feature points, a target feature point candidate position estimating unit configured to estimate candidates of the position of the target feature point, a second dictionary, a second pattern matching unit configured to match the second dictionary and a peripheral pattern of the target feature point and a determination unit configured to obtain the position of the target feature point.

Abstract: A face feature point detecting device according to embodiments includes a unit inputting an image containing a face of a person, a unit detecting a feature point set candidate comprising plural kinds of feature points, and a unit calculating an error between each feature point of the projected feature point set candidate and each feature point of the feature point set including plural kinds of feature points of the three-dimensional model information; and a unit selecting a feature point set having consistency from the feature point set candidates on basis of the errors of the feature points or an integral value of the errors.