Abstract: An operation management system including a controller configured to execute: a position obtaining process to obtain positional information from each registered mobility; a correlating process to correlate each registered mobility and specification information stored in a storage device with each other; a travel-history storing process to store, in the storage device, a traveled route which is a travel history of each registered mobility, so as to be correlated with map information; and a road-surface-condition obtaining process to calculate a road surface condition including a position and a shape of a rut corresponding to the traveled route based on information on a detection value of a sensor of each of registered mobility, the type of a road surface included in the map information, the specification information, and the traveled route and to store, in the storage device, the road surface condition so as to be correlated with the map information.

Abstract: Disclosed is a fluorescence image analyzing apparatus including a light source that emits light to a sample including a plurality of cells labeled with a fluorescent dye at a target site, an imaging unit that captures a fluorescence image of each of the cells that emit fluorescence by being irradiated with the light, a fluorescence image of the cell, and a processing unit that processes the fluorescence image captured by the imaging unit to acquire a bright spot pattern of fluorescence in the fluorescence image. The processing unit selects a reference pattern corresponding to a measurement item of the sample from a plurality of reference patterns corresponding to a plurality of measurement items and generates information used for determination of the sample based on the bright spot pattern of fluorescence in the fluorescence image and the selected reference pattern.

Abstract: An object tracking system according to the present disclosure includes: object position detection means for detecting a position of an object by using a sensor; object tracking parameter storage means for storing a parameter related to an erroneous detection or a non-detection caused by a detection characteristic of the sensor; object tracking means for performing tracking based on the position obtained by the object position detection means and the parameter stored in the object tracking parameter storage means; object tracking result evaluation means for calculating an evaluation index based on a result obtained by the object tracking means; and object tracking parameter updating means for determining the parameter based on the evaluation index calculated by the object tracking result evaluation means and updating the parameter stored in the object tracking parameter storage means.

Abstract: An advertisement display method of displaying an advertisement transmitted from a server in a terminal of a user including receiving, from the server, first video data being a part of video data of the advertisement, controlling to activate the application in response to selection of the application by the user, displaying a first display based on the first video data in a display region of the terminal while the application is active, receiving, from the server, second video data being different from the first video data included in the video data of the advertisement, based on reception of the first video data, and displaying a second display based on the second video data in the display region, in association with the first display in the display region may be provided.

Abstract: An information processing device according to the present invention includes a person extraction means that extracts a person in a captured image, an action extraction means that extracts an action of a person group including a plurality of persons other than a given person in the captured image, and an identification means that identifies a given person group based on a result of extraction of the action of the person group.

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 advertisement display method of displaying an advertisement transmitted from a server in a terminal of a user including receiving, from the server, first video data being a part of video data of the advertisement, controlling to activate the application in response to selection of the application by the user, displaying a first display based on the first video data in a display region of the terminal while the application is active, receiving, from the server, second video data being different from the first video data included in the video data of the advertisement, based on reception of the first video data, and displaying a second display based on the second video data in the display region, in association with the first display in the display region may be provided.

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 is communicably connected to a link rule storage unit. The link rule storage unit stores a link rule. The link rule represents a criterion as to whether or not to link a plurality of pieces of trajectory data representing a trajectory of an object into one. Further, the link rule is a criterion for linking the plurality of pieces of trajectory data estimated to represent the trajectory of the same object. The information processing apparatus obtains a plurality of pieces of trajectory data, and classifies the obtained plurality of pieces of trajectory data into groups for each object. The information processing apparatus updates the link rule stored in the link rule storage unit by using the plurality of pieces of trajectory data classified into the groups.

Abstract: A display control system according to the present disclosure includes a cross-section display which, when an operation device moves in a direction away from a display device and overlaps a virtual plane at a position separated from the display device by a predetermined distance, causes the display device to display the object image including a cut plane obtained by cutting the operation device at the virtual plane.

Abstract: A display control system according to the present disclosure includes a cross-section display which, when an operation device moves in a direction away from a display device and overlaps a virtual plane at a position separated from the display device by a predetermined distance, causes the display device to display the object image including a cut plane obtained by cutting the operation device at the virtual plane.

Abstract: Provided is a lens apparatus, including: a fixed barrel; a first optical member supported by the fixed barrel and configured to be driven in a direction of an optical axis; a second optical member supported by the fixed barrel and undriven in the direction of the optical axis; a driving mechanism supported by the fixed barrel and configured to be rotated about the optical axis and drive the first optical member in the direction of the optical axis; and a first elastic member arranged between the first optical member and the second optical member and configured to apply an elastic force in the direction of the optical axis to the first optical member and the second optical member.

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 object tracking system according to the present disclosure includes: object position detection means for detecting a position of an object by using a sensor; object tracking parameter storage means for storing a parameter related to an erroneous detection or a non-detection caused by a detection characteristic of the sensor; object tracking means for performing tracking based on the position obtained by the object position detection means and the parameter stored in the object tracking parameter storage means; object tracking result evaluation means for calculating an evaluation index based on a result obtained by the object tracking means; and object tracking parameter updating means for determining the parameter based on the evaluation index calculated by the object tracking result evaluation means and updating the parameter stored in the object tracking parameter storage means.

Abstract: An information processing device according to the present invention includes a person extraction means that extracts a person in a captured image, an action extraction means that extracts an action of a person group including a plurality of persons other than a given person in the captured image, and an identification means that identifies a given person group based on a result of extraction of the action of the person group.

Abstract: A machine learning apparatus 100 is an apparatus for constructing, by transfer learning, a second identification dictionary to be used in a second task from a first identification dictionary to be used in a first task. The machine learning apparatus 100 includes: a pseudo data generation unit 10 that generates pseudo data by processing one of real data in the first task and real data in the second task or both pieces of real data; and a learning unit 20 that constructs a third identification dictionary by performing, using the first identification dictionary, first transfer learning using the pseudo data as training data, and furthermore, constructs the second identification dictionary by performing, using the third identification dictionary, second transfer learning using the real data in the second task as training data.

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).