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).

Abstract: An image processing apparatus 1 includes: a detecting unit 11 that detects an iris area IA including an iris from a person image IMG1 in which at least an eye of the target person is included; an image processing unit 12 that converts the person image to a protected image IMG2 in which an iris information relating to a pattern of the iris is not obtainable by performing an image processing on at least a part of the iris area of the person image; and an adding unit 13 that adds meta data indicating that the image processing is performed on at least a part of the iris area to the protected image.

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 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 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 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 1 includes: a detecting unit 11 that detects an iris area IA including an iris from a person image IMG1 in which at least an eye of the target person is included; an image processing unit 12 that converts the person image to a protected image IMG2 in which an iris information relating to a pattern of the iris is not obtainable by performing an image processing on at least a part of the iris area of the person image; and an adding unit 13 that adds meta data indicating that the image processing is performed on at least a part of the iris area to the protected image.