Abstract: An information processing device, an information processing system, an information processing method, and a program capable of appropriately reducing the amount of information of an image are provided. An information processing device includes an image acquisitor, an information amount reduction degree determiner, and an information amount reducer. The image acquisitor acquires an image acquired by imaging an actual space. The information amount reduction degree determiner determines a degree of reduction of an amount of information on the basis of an attribute of a subject shown in the image. The information amount reducer generates information reduced data acquired by reducing at least a part of the amount of information of the image in accordance with the degree of reduction of the amount of information.

Abstract: An evaluation device according to an embodiment includes an acquirer, a first evaluator, a second evaluator, and a display controller. The acquirer acquires a training model that is an evaluation target and evaluation data. The first evaluator evaluates a functional quality of the training model based on output data acquired by inputting the evaluation data to the training model. The second evaluator evaluates a non-functional quality of the training model based on the output data. The display controller outputs an evaluation result screen including a first evaluation result according to the first evaluator and a second evaluation result according to the second evaluator to cause a display device to display the evaluation result screen.

Abstract: According to one embodiment, an image-processing apparatus includes an output unit, a tracker, a storage controller, a setter, and an output controller. The tracker tracks a target object in one or more time-series images. The storage controller stores tracking information including a movement trajectory of the object in a predetermined storage. The setter sets a detection region for detecting passing through of the object based on the movement trajectory of the object, on the image, in accordance with a user's operation. An evaluator evaluates a setting mode for the detection region based on the tracking information stored in the predetermined storage and the detection region set by the setter. The output controller outputs the tracking information stored in predetermined storage, from the output unit, in an output mode based on an evaluation result of the evaluator.

Abstract: An information processing device, an information processing system, an information processing method, and a program capable of appropriately reducing the amount of information of an image are provided. An information processing device includes an image acquisitor, an information amount reduction degree determiner, and an information amount reducer. The image acquisitor acquires an image acquired by imaging an actual space. The information amount reduction degree determiner determines a degree of reduction of an amount of information on the basis of an attribute of a subject shown in the image. The information amount reducer generates information reduced data acquired by reducing at least a part of the amount of information of the image in accordance with the degree of reduction of the amount of information.

Abstract: According to one embodiment, an image processing device includes at least one processor. The at least one processor is configured to acquire a first three-dimensional model regarding a subject, set a plurality of first control points on the first three-dimensional model, acquire mesh data of a meshed image of a region of clothing extracted from a captured image, acquire a second three-dimensional model, modify the mesh data based on an amount of movement from each of the plurality of first control points, to each respective one of a plurality of second control points, and generate an image of the clothing using the captured image and the modified mesh data.

Abstract: According to an embodiment, a server includes a first acquiring unit, a second acquiring unit, an analyzing unit, and an output unit. The first acquiring unit is configured to acquire recognition information includes a product identification information for identifying the product. The second acquiring unit is configured to acquire combination information including the product identification information of the product to be combined with an object image including an object. The analyzing unit is configured to calculate product priorities for respective products by analyzing the recognition information and the combination information. The output unit is configured to output information based on the product priorities.

Abstract: According to one embodiment, an image-processing apparatus includes an output unit, a tracker, a storage controller, a setter, and an output controller. The tracker tracks a target object in one or more time-series images. The storage controller stores tracking information including a movement trajectory of the object in a predetermined storage. The setter sets a detection region for detecting passing through of the object based on the movement trajectory of the object, on the image, in accordance with a user's operation. An evaluator evaluates a setting mode for the detection region based on the tracking information stored in the predetermined storage and the detection region set by the setter. The output controller outputs the tracking information stored in predetermined storage, from the output unit, in an output mode based on an evaluation result of the evaluator.

Abstract: A control device includes one or more processors. The processors detect a target captured in an image, and calculate likelihood indicating whether the target is concealed. The processors decide on an output method for outputting the target according to the likelihood. The processors generate a display image based on the image and the decided output method.

Abstract: According to an embodiment, an object detection system includes an obtaining unit, an estimating unit, a setting unit, a calculating unit, and a detecting unit. The obtaining unit is configured to obtain an image in which an object is captured. The estimating unit is configured to estimate a condition of the object. The setting unit is configured to set, in the image, a plurality of areas that have at least one of a relative positional relationship altered according to the condition and a shape altered according to the condition. The calculating unit is configured to calculate a feature value of an image covering the areas. The detecting unit is configured to compare the calculated feature value with a feature value of a predetermined registered object, and detect the registered object corresponding to the object.

Abstract: A control device includes one or more processors. The processors detect a target captured in an image, and calculate likelihood indicating whether the target is concealed. The processors decide on an output method for outputting the target according to the likelihood. The processors generate a display image based on the image and the decided output method.

Abstract: According to one embodiment, an image processing device includes at least one processor. The at least one processor is configured to acquire a first three-dimensional model regarding a subject, set a plurality of first control points on the first three-dimensional model, acquire mesh data of a meshed image of a region of clothing extracted from a captured image, acquire a second three-dimensional model, modify the mesh data based on an amount of movement from each of the plurality of first control points, to each respective one of a plurality of second control points, and generate an image of the clothing using the captured image and the modified mesh data.

Abstract: Disclosed is an apparatus for classifying crowd. The apparatus is configured to: acquire a time-series image including the crowd; divide the image into a plurality of regions and calculate a stay degree for each of the regions from a number of persons in one of the regions and size and direction of motion of persons in one of the regions, wherein the stay degree has a higher value for more stopping persons in one of the regions; and classify each of the regions according to the stay degree as one of an attribute indicating that the crowd are stopping in the region, an attribute indicating that the crowd are moving in the region and an attribute indicating that no crowd exist in the region. The apparatus is configured to: set a range occupied by one or more regions having the same attribute as one block and display the block while expressing the attribute.

Abstract: According to an embodiment, a server includes a first acquiring unit, a second acquiring unit, an analyzing unit, and an output unit. The first acquiring unit is configured to acquire recognition information includes a product identification information for identifying the product. The second acquiring unit is configured to acquire combination information including the product identification information of the product to be combined with an object image including an object. The analyzing unit is configured to calculate product priorities for respective products by analyzing the recognition information and the combination information. The output unit is configured to output information based on the product priorities.

Abstract: According to an embodiment, an image processing apparatus includes an obtainer, a setter, a first calculator, a second calculator, and a third calculator. The obtainer obtains an image. The setter sets a plurality of first regions and a plurality of second regions on the image. Each of the first regions and the second regions includes two or more pixels, and at least one of the second regions is different in position or size from the first regions. The first calculator calculates first feature data representing an image feature of the first regions. The second calculator calculates second feature data which is a luminance gradient between the second regions. The third calculator calculates relative feature data representing a relative relationship between the first feature data and the second feature data.

Abstract: According to one embodiment, a data processing apparatus is capable of sensing a body shape of a user. The data processing apparatus includes a support base placed on a floor, a semi-silvered mirror standing from a rear end of the support base and a sensor including a light-receiving element and placed at a predetermined depression angle with respect to a horizontal orientation of the light-receiving element. The sensor is located such that the light-receiving element is positioned behind a mirror surface of the semi-silvered mirror, and a center of the light-receiving element is positioned above a center of the semi-silvered mirror.

Abstract: According to an embodiment, an image processing apparatus includes an acquisition unit, a setting unit, and a calculator. The acquisition unit is configured to acquire an image. The setting unit is configured to set a plurality of sampling points in a sampling area of the image, each sampling point being associated with a calculation area. The calculator is configured to calculate feature values of the image in the calculation area. The setting unit is configured to set the sampling points to provide at least one of an arrangement in which distances between the adjacent sampling points change with distances from a center of the sampling area, and an arrangement in which the sampling points exist on circumferences of a plurality of circles different in diameter.

Abstract: According to an embodiment, an information processing apparatus includes a first image acquisition unit, a first information acquisition unit, a reception unit, a generation unit, and a writing unit. The first image acquisition unit is configured to acquire a first image obtained by imaging by an imaging unit. The first information acquisition unit is configured to acquire any of multiple pieces of information capable of being associated with the first image. The reception unit is configured to receive a first input. The generation unit is configured to associate the first image acquired in the first image acquisition unit with the information piece acquired in the first information acquisition unit to generate an association data piece when the reception unit receives the first input. The writing unit is configured to write the association data piece into a storage unit.

Abstract: In an embodiment, a recognition apparatus includes: an obtaining unit configured to obtain positions of a specific part in a coordinate system having a first axis to an n-th axis (n?2); a calculating unit configured to calculate a movement vector of the specific part; a principal axis selecting unit configured to select a principal axis; a turning point setting unit configured to set a position at which there is a change in the principal axis, and set a position at which there is a change; a section setting unit configured to set a determination target section, and set a previous section; a determining unit configured to calculate an evaluation value of the determination target section and an evaluation value of the immediately previous section and, determine which of the first axis to the n-th axis is advantageous; and a presenting unit configured to perform the determined result.

Abstract: In an embodiment, a recognition apparatus includes: an obtaining unit configured to obtain positions of a specific part in a coordinate system having a first axis to an n-th axis (n?2); a calculating unit configured to calculate a movement vector of the specific part; a principal axis selecting unit configured to select a principal axis; a turning point setting unit configured to set a position at which there is a change in the principal axis, and set a position at which there is a change; a section setting unit configured to set a determination target section, and set a previous section; a determining unit configured to calculate an evaluation value of the determination target section and an evaluation value of the immediately previous section and, determine which of the first axis to the n-th axis is advantageous; and a presenting unit configured to perform the determined result.

Abstract: According to an embodiment, a searching device includes an acquiring unit, a receiver, a calculator, and a determining unit. The acquiring unit is configured to acquire a first image. The receiver is configured to receive selection of a first area contained in the first image. The calculator is configured to calculate, for each of a plurality of second images to be searched, a first similarity with the first area and a second similarity with a second area that has been received by the receiver before the first area. The determining unit is configured to determine a third image or third images to be presented from among the second images on the basis of a result of a logical operation of the first similarity and the second similarity for each of the second images.