Abstract: Provided is a flooding detection device or the like capable of detecting flooding in a pipeline. The flooding detection device comprises: an optical signal reception unit configured to receive an optical signal, including sensing information, from an optical fiber provided along the pipeline; at least one memory configured to store instructions; and at least one processor configured to execute the instructions to detect the propagation characteristics of vibrations in the pipeline using the sensing information included in the optical signal and detect flooding in the pipeline on the basis of the propagation characteristics.

Abstract: A water vapor observation apparatus of the present invention includes: an acquiring unit that acquires a water vapor value at each predetermined point measured based on a received signal from a satellite; an extracting unit that extracts a feature value for each predetermined point from a captured image captured from the sky; and a correcting unit that corrects the water vapor value based on the feature value for each predetermined point.

Abstract: In order to more improve a level of satisfaction of a passenger in transportation including a plurality of vehicles, a management apparatus (100A) includes: a detecting section (13A) which detects a passenger in a vicinity of a doorway of at least any vehicle included in a plurality of vehicles; an obtaining section (11A) which obtains (i) information indicative of an attribute of the passenger who has been detected by the detecting section (13A) and (ii) information indicative of an attribute of the at least any vehicle having the doorway in which the passenger has been detected; and a setting section (12A) which sets a fare to be collected from the passenger, in accordance with a combination of the attribute of the passenger and the attribute of the at least any vehicle.

Abstract: An estimation device that includes a detection unit that detects a terminal stance period from time-series data of sensor data based on a physical quantity related to movement of a foot measured by a sensor provided at a foot portion, a feature amount extraction unit that extracts a feature amount from an angular waveform in a coronal plane during the terminal stance period, and a presumption unit that estimates a degree of pronation/supination of the foot by using the feature amount extracted from the angular waveform in the coronal plane.

Abstract: The image acquisition unit acquires a body image generated by capturing an image of a body of a target person when a target person is in a position away from an imaging unit by a first distance and acquires a code image generated by capturing an image of a code recording medium carried by the target person when the target person is in a position away from the imaging unit by a second distance shorter than the first distance. The authentication information generation unit starts processing for generating biometric information for authentication of the target person from the body image in accordance with the acquisition of the body image of the target person. The embedded information acquisition unit acquires embedded information from the code image. The authentication unit executes biometric authentication by collating biometric information for authentication with biometric information for registration included in the embedded information.

Abstract: A correction system (1) according to the present disclosure includes: an optical fiber sensing apparatus (101) configured to receive an optical signal from an optical fiber (200), and acquire sensed data from the optical signal; an analysis apparatus (102) configured to analyze an analysis target based on the sensed data; an absolute value acquisition apparatus (103) configured to acquire an absolute value of the analysis target; and a correction apparatus (104) configured to correct an analysis result for the analysis target from the analysis apparatus (102), based on the absolute value of the analysis target.

Abstract: An information processing system (10) comprises: an acquisition unit (110) that acquires an image of a target; a registration unit (120) that registers the image of the target and a registration condition including a condition relating to each wearing item of the target in association with each other; and an output unit (130) that outputs information relating to, within the registration conditions to be registered with respect to the target, the registration condition that is unregistered in the registration unit. According to such an information processing system, it is possible to register an image corresponding to each of a plurality of conditions to increase the robustness of authentication.

Abstract: In order to attain an object of evaluating a value of data of a seller, an information processing apparatus (1) includes: an extending means (21) that extends, with use of published data (40) which is possessed by a seller (S) and which has been published or is scheduled to be published, target data (D1) which is possessed by a buyer (B) and which is a subject to be analyzed; and an estimating means (22) that estimates a degree of value enhancement (46) of a second analysis result (45) relative to with respect to a first analysis result (44), the first analysis result (44) being a result of analyzing the target data having not been extended yet (41), the second analysis result (45) being a result of analyzing the target data having been already extended (43).

Abstract: A learning device includes a learning model for a still image. The learning model includes a mask generation means configured to generate a first object mask identifying an area in which an object exists in a still image, for each individual object. A first parameter including at least one parameter used for processing of generating the first object mask is adjusted based on a first loss. The first loss indicates a difference of the first object mask with respect to a second object mask identifying an area in which an object exists in a moving image including the still image, for each individual object.

Abstract: Provided is a technique which makes it possible to suitably evaluate a weight of a target object disposed in a container. A weight estimation method includes: a first obtaining step of obtaining first image data for training included in first type image data on a target object which has been scooped up by an excavator and is disposed in a container; a training step of training, with reference to the first image data and a measured weight of the target object, an estimation model that outputs a weight of the target object based on the first type image data; a second obtaining step of obtaining second image data for estimation included in the first type image data; and an estimating step of estimating the weight of the target object based on the estimation model and the second image data.

Abstract: An information processing system (10) comprises: an image acquisition unit (110) that acquires a face image and an iris image with respect to a registration target; a score computing unit (120) that calculates a quality-score indicating quality with respect to each of the face image and the iris image; and a selection unit (130) that selects each of the face image and the iris image for registration based on the quality-score. According to this information processing system, it is possible to register high-quality face image and iris image.

Abstract: An estimation device that includes a detection unit that detects a terminal stance period from time-series data of sensor data based on a physical quantity related to movement of a foot measured by a sensor provided at a foot portion, a feature amount extraction unit that extracts a feature amount from an angular waveform in a coronal plane during the terminal stance period, and a presumption unit that estimates a degree of pronation/supination of the foot by using the feature amount extracted from the angular waveform in the coronal plane.

Abstract: An example embodiment includes: an acquisition unit that acquires a first image generated by capturing an object by using a light at a first wavelength, a second image generated by capturing the object by using a light at a second wavelength, and depth information on the object; a detection unit that detects a face included in the second image; a check unit that, based on the depth information, checks whether or not a face detected by the detection unit is one obtained by capturing a living body; and an extraction unit that, based on information on a face checked by the check unit as obtained by capturing a living body, extracts a face image from the first image.

Abstract: A road deterioration diagnosis device according to an aspect of the present disclosure includes: at least one memory configured to store instructions, deterioration information including a detection status of a pothole, and a maintenance status of the detected pothole in each section, the each section obtained by dividing a predetermined region by a predetermined size; and at least one processor configured to execute the instructions to cause a display to display a map indicating the deterioration information in the each section.

Abstract: An information processing system (10) comprises: a distance acquisition unit (110) that specifies an iris area containing an iris of a target from a visible-light image of the target, and acquires an iris distance that is a distance to the iris area; an iris image acquisition unit (120) that acquires an iris image of the target by changing a focal length according to the iris distance; a score computing unit (130) that calculates a score relating to deviation of a focus in the iris image, based on the iris image; and a correlation update unit (140) that updates correlation between the iris distance and the focal length at a moment of acquisition of the iris image, based on the score. According to such an information processing system, since the correlation is updated with good accuracy, it is possible to acquire the appropriate iris image.

Abstract: An information processing device acquires, based on a set including a plurality of samples in which a first value and a second value are associated with each other, a first distribution that is a probability distribution of a first function for calculating the second value from the first value. The information processing device acquires, based on a second distribution having an average different from an average of each argument of the first function in the first distribution, a second function for calculating an evaluation value for an argument value of the first function. The information processing device determines, based on the evaluation value by the second function, an argument value for sampling a function value of the first function.

Abstract: An illumination control apparatus 3 comprises: a detection unit 311 that detects an iris area IA and a reflection area RA in an eye image IMG_E generated by imaging eyes of a target being illuminated with illumination light IL from an illumination apparatus 2, the iris area IA and the reflection area RA corresponding to an iris of the eyes and a reflection image of the illumination light respectively; and an illumination control unit 312 that controls the illumination apparatus based on an overlap state between the iris area and the reflection area.

Abstract: In a compatibility evaluation device, the acquisition means acquires outputs of a first predictor and a second predictor for evaluation data. The index determination means determines a generalized backward compatibility index defined by a combination of a plurality of relational expressions representing relationship between the output of the first predictor and the output of the second predictor. The calculation means calculates a score indicating compatibility of the first predictor and the second predictor, using the output of the first predictor, the output of the second predictor, and the generalized backward compatibility index.

Abstract: An image processing device includes a receiver configured to receive a plurality of images of a subject from a camera; and a processor configured to: calculate, for each of the plurality of images, an angle difference between a gaze angle and a head angle of the subject to obtain a series of angle differences; and determine an authenticity of the subject at least based on the series of angle differences.

Abstract: A singular material detection apparatus (2000) acquires, for each of a plurality of materials (60), material specification information (10) representing material specifications of the material (60) and physical property information (20) indicating physical properties of a product (70) that can be generated by using the material (60). The singular material detection apparatus (2000) generates a self-organizing map (30) by using the physical property information (20). The singular material detection apparatus (2000) assigns each of pieces of material specification information (10) to one of nodes based on the physical property information (20) corresponding to that piece of the material specification information (10). Then, the singular material detection apparatus (2000) detects, from among the nodes to which the pieces of material specification information (10) are assigned, a singular node located at a singular position in a map space.