Abstract: An information processing system includes: an acquisition unit that acquires first biometric information and second biometric information from a target, a first authentication unit that determines whether or not the target is authenticatable by first authentication using the first biometric information, a second authentication unit that determines whether or not the target is authenticatable by second authentication using the second biometric information, and a control unit that permits first processing in response to a determination that it is authenticatable in both the first authentication and the second authentication, that permits second processing in response to a determination that it is authenticatable in one of the first authentication and the second authentication, and that does not permit the first processing and the second processing in response to a determination that it is not authenticatable in both the first authentication and the second authentication.

Abstract: An image processing device is provided that can easily generate label data used for an object recognition technology using three-dimensional point cloud data. The image processing device (1) includes a three-dimensional point cloud obtaining unit (2), a two-dimensional label obtaining unit (4), and a label conversion unit (6). The three-dimensional point cloud obtaining unit (2) obtains three-dimensional point cloud data that represents a three-dimensional point cloud of an object. The two-dimensional label obtaining unit (4) obtains two-dimensional label data corresponding to a two-dimensional image of the object. The label conversion unit (6) associates the two-dimensional label data with the three-dimensional point cloud data, and converts the two-dimensional label data into three-dimensional point cloud label data that indicates a label of the three-dimensional point cloud.

Abstract: An information processing apparatus including: an acquisition unit that acquires gait information indicating a gait of a target that moves; and a control unit that estimates a speed of the target in case the target arrives at a predetermined location based on the gait information, and controls an imaging environment for imaging the target having arrived at the predetermined location in accordance with the speed.

Abstract: An information processing apparatus includes: a facial recognition unit that performs facial recognition by using a face image including a face of a target; an iris recognition unit that performs iris recognition by using an eye image including an iris of the target; and a determination unit that performs identity determination of determining whether the target is a registered person himself/herself, based on a result of the facial recognition and a result of the iris recognition. The determination unit lowers priority of the iris recognition and performs the identity determination, in a case where it is estimated by using information about the target that the target is in a state of at least one of crying and having teary eyes.

Abstract: An information processing apparatus including: an authentication unit that performs an authentication on a target using biometric information of the target; a storing unit that stores target information in a storing apparatus in association with the target, wherein the target information including the biometric information and authentication information related to the authentication using the biometric information; and an output unit that outputs body information related to a body of the target, which is estimated using two or more pieces of the target information of the target stored in the storing apparatus.

Abstract: An information processing system (100) includes an attribute information acquisition unit (112) and a projection condition determination unit (113). The attribute information acquisition unit (112) acquires attribute information of a target. The projection condition determination unit (113) determines a projection condition of first and second lighting fixtures (108a, 108b) projecting light onto the target for capturing an image of the target, based on the attribute information. The projection condition includes a lighting frequency of each of the first and second lighting fixtures (108a, 108b).

Abstract: An imaging system includes: an information acquisition unit that acquires movement information about a movement of at least a part of a target; a periodicity estimation unit that estimates periodicity about the movement of at least a part of the target, on the basis of the movement information; and an image acquisition unit that controls a camera for imaging the target on the basis of the periodicity and acquires an image of the target. According to such an imaging system, it is possible to properly image a moving target.

Abstract: An imaging system includes: a first camera with a first focal length; a second camera with a second focal length; a first mirror disposed to correspond to both the first camera and the second camera; and a first adjustment unit that adjusts an optical positional relation between the first camera or the second camera and the first mirror, in accordance with which of the first camera and the second camera is used to image a target. According to such an imaging system, it is possible to properly image targets located at differing distances.

Abstract: An image capturing apparatus according to the present disclosure includes: an image capturing unit that captures an image of a target; a rotating mirror that rotates about a first rotation shaft and is capable of changing an image capturing direction of the image capturing unit; and a control unit that controls the image capturing unit to capture an image of the target moving in a first direction in a first lane after causing the rotating mirror to rotate to a first angle and controls the image capturing unit to capture an image of the target moving in a second direction in a second lane after causing the rotating mirror to rotate to a second angle, the second direction being different from the first direction.

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: An image processing apparatus includes: a three-dimensional point cloud segmentation unit for segmenting a three-dimensional point cloud of an object using clustering parameters so that the smaller the distance between points in the three-dimensional point cloud is, the more likely the points are to be clustered into the same cluster; a cluster mapping unit for generating a mapped point cloud by mapping clusters of the three-dimensional point cloud to a two-dimensional image based on the correspondence between the coordinates of the three-dimensional point cloud and the coordinates of pixels of the two-dimensional image; a label matching unit for assigning labels to points in the mapped point cloud based on a target label and position information in the two-dimensional image; a matching result voting unit for voting for labels of the points; and a label determination unit for determining the label for the points based on voting results.

Abstract: This machine-learning device is provided with: a detection unit which detects a loss of consistency with a lapse of time in a determination result for unit data, the determination result being output from a determination unit that generates a learning model to be used when performing prescribed determination for one or more pieces of the unit data that form time series data; and a selection unit which selects, on the basis of the result of detection by the detection unit, unit data to be used as teacher data when the determination unit updates the learning model, thereby efficiently raising the accuracy of the learning model when machine learning is performed on the basis of the time series data.

Abstract: A surveillance system (1) includes an area information acquisition unit (101), a position information acquisition unit (102), a candidate determination unit (103), and a notification unit (104). The area information acquisition unit (101) acquires information of a surveillance-desired area. The position information acquisition unit (102) acquires pieces of position information of a plurality of portable terminals (20), each portable terminal performing surveillance using an image capturing unit. The candidate determination unit (103) determines a candidate portable terminal (20) to be moved to the surveillance-desired area from among the plurality of portable terminals (20) based on the acquired pieces of position information of the plurality of portable terminals (20). The notification unit (104) outputs a notification to the candidate portable terminal requesting to move to the surveillance-desired area.

Abstract: An imaging system includes: a first camera with a first focal length; a second camera with a second focal length; a first mirror disposed to correspond to both the first camera and the second camera; and a first adjustment unit that adjusts an optical positional relation between the first camera or the second camera and the first mirror, in accordance with which of the first camera and the second camera is used to image a target. According to such an imaging system, it is possible to properly image targets located at differing distances.

Abstract: An imaging system includes: an information acquisition unit that acquires movement information about a movement of at least a part of a target; a periodicity estimation unit that estimates periodicity about the movement of at least a part of the target, on the basis of the movement information; and an image acquisition unit that controls a camera for imaging the target on the basis of the periodicity and acquires an image of the target. According to such an imaging system, it is possible to properly image a moving target.

Abstract: This machine-learning device is provided with: a detection unit which detects a loss of consistency with a lapse of time in a determination result for unit data, the determination result being output from a determination unit that generates a learning model to be used when performing prescribed determination for one or more pieces of the unit data that form time series data; and a selection unit which selects, on the basis of the result of detection by the detection unit, unit data to be used as teacher data when the determination unit updates the learning model, thereby efficiently raising the accuracy of the learning model when machine learning is performed on the basis of the time series data.

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 apparatus includes: a guide generation unit that generates guide information about capturing a target image on the basis of the target image; a guide output unit that outputs the guide information; and a guide evaluation unit that evaluates the guide information on the basis of the target image captured before and after an output of the guide information. According to the information processing apparatus, the guide information may be properly evaluated.

Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).

Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).