Nec Solution Innovators, Ltd.

Tokyo Institute of Technology

Nec Soft, Ltd.

Yasuyuki Ihara

Masashi Sugiyama

Kazuya Ueki

Hisashi Noda

Mitsuhiro Fujita

Hideshi Yamashita

A flight control deviceis device for controlling an unmanned aircraft, including: a region detection unitthat detects a flight-restricted regionin which flight is restricted; a distance calculation unitthat calculates a distance d from the flight-restricted regionto the unmanned aircraft; and a collision determination unitthat specifies an altitude and a speed of the unmanned aircraft, and determines whether the unmanned aircraftlands in the flight-restricted regionin case of a crash, based on the altitude and the speed that have been specified and the calculated distance d.

Flight control device, flight control method, and computer-readable recording medium

This invention relates to an attribute factor analysis method, which is a method of analyzing a factor of an attribute based on a training sample set including training samples each being a combination of reference image data and attribute data associated with the reference image data. The attribute factor analysis method includes: a division step of dividing an image region of the reference image data constituting each training sample of the training sample set into parts of a predetermined sample size in a mesh shape; a model construction step of constructing a regression model by performing sparse regression analysis for each of the parts based on the reference sample set; a dependency calculation step of calculating, with use of the regression model, for each training sample of the training sample set, a dependency between an explanatory variable representing a feature quantity of reference image data on each part and an objective variable representing the attribute data, to obtain an attribute factor analyzed result; and a visualization step of visualizing the attribute factor analyzed result to produce the visualized attribute factor analyzed result.

Attribute factor analysis method, device, and program

This invention relates to a method of analyzing a factor of an attribute based on a case sample set containing combinations of image data and attribute data associated with the image data. The attribute factor analysis method includes: a division step of dividing an image region of the image data forming each element of the case sample set into parts in a mesh shape of a predetermined sample size; a reconstruction step of reconstructing, based on the case sample set, the case sample sets for the respective parts to obtain reconstructed case sample sets; an analysis step of analyzing, for each of the reconstructed case sample sets, a dependency between an explanatory variable representing a feature value of image data on each part and an objective variable representing the attribute data, to thereby obtain an attribute factor analysis result; and a visualization step of visualizing the attribute factor analysis result to produce the visualized attribute factor analysis result.

The present invention provides an attribute value estimation device capable of yielding highly accurate estimation results even when people from multiple races are estimation targets. The attribute value estimation device for estimating, from data input thereto, an attribute value of the data includes: a data acquisition unit () that acquires data for which an attribute value is to be estimated; a discrete quantity estimation unit () that estimates the attribute value as a discrete quantity based on the data acquired by the data acquisition unit () and in accordance with a previously learned determination criterion; a first LSPC () that estimates the attribute value as a discrete quantity based on data input from the discrete quantity estimation unit (); and an integration unit () that integrates a first discrete quantity estimation value estimated by the discrete quantity estimation unit () and a second discrete quantity estimation value estimated by the first LSPC ().

Attribute value estimation device, attribute value estimation method, program, and recording medium

Provided are an age estimation apparatus, an age estimation method, and an age estimation program capable of obtaining a recognition result closely matching the result perceived by human. An age estimation apparatusfor estimating an age of a person on image data includes a dimension compressorfor applying dimension compression to the image data to output low dimensional data; and an identification devicefor estimating an age of a person on the basis of a learning result using a feature amount contained in the low dimensional data, wherein a parameter used for the dimension compression by the dimension compressorand the feature amount used for age estimation by the identification deviceare set on the basis of a result of an evaluation of a generalization capability using a weighting function that shows a degree of seriousness of an age estimation error for every age, and learning of the identification deviceis performed on the basis of the weighting function.

Age estimation apparatus, age estimation method, and age estimation program

Provided are an age estimation apparatus, an age estimation method, and an age estimation program capable of reducing the labor of labeling the image data used for age estimation. An age estimation apparatus for estimating an age of a person on image data includes a dimension compression unit for applying dimension compression to the image data to output low dimensional data; a clustering unit for performing clustering of the low dimensional data outputted; a labeling unit for labeling representative data of each cluster among the low dimensional data clustered; and an identification unit for estimating an age of a person on the basis of a learning result using a feature amount contained in labeled low dimensional data and unlabeled low dimensional data.

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Tokyo, Japan

Yasuyuki Ihara