Abstract: An image processing device (100) includes a change detection unit (101) that detects a target state change in a person on the basis of an input image, and a determination unit (102) that determines an abnormal state in accordance with a detection obtained by detecting occurrences of the target state change in a plurality of persons.

Abstract: A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020). The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.

Abstract: In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.

Abstract: An approximate positions-of-people determination means determines, for each partial area, approximate positions of people on an image on the basis of information about the partial area. A states-of-people estimation means, in addition to predicting the current states of particles from the states of particles indicating past states of people and stored in a storage means, adds new particles and evaluates the likelihood of the states of predicted particles and the added particles on the basis of an observation model generated for the observed people to update the weights of the particles, performs particle re-sampling at a probability proportional to the weights of those particles, and outputs the states of the obtained particles as a flow of people.

Abstract: A crowd type classification system of an aspect of the present invention includes: a staying crowd detection unit that detects a local region indicating a crowd in staying from a plurality of local regions determined in an image acquired by an image acquisition device; a crowd direction estimation unit that estimates a direction of the crowd for an image of a part corresponding to the detected local region, and appends the direction of the crowd to the local region; and a crowd type classification unit that classifies a type of the crowd including a plurality of staying persons for the local region to which the direction is appended by using a relative vector indicating a relative positional relationship between two local regions and directions of crowds in the two local regions, and outputs the type and positions of the crowds.

Abstract: At least one processor determines a person state of a crowd according to a people state control designation as designation information on a person state of people and an individual person state control designation as designation information on a state of an individual person in the people. The at least one processor generates a crowd state image as an image in which a person image corresponding to the person state determined is synthesized with previously-prepared image at a predetermined size, specifies a training label for the crowd state image, and outputs a pair of crowd state image and training label.

Abstract: An information processing apparatus (2000) includes a determination unit (2020) and a notification unit (2040). The determination unit (2020) determines whether a field of view of a second camera is correct, on the basis of a first captured image (40), a second captured image (50), and relationship information (information indicating the relationship to be satisfied between a field of view of a first camera and the field of view of the second camera). In a case in which the field of view of the second camera is not correct, the notification unit (2040) notifies that the field of view of the second camera is not correct. The first camera is provided in a head-mounted display worn by a person. The second camera is provided in a part other than the head-mounted display.

Abstract: Provided is an art of registration and management of the placement positions of objects to be managed can be easily and reliably performed. A device includes an identification information receiving unit 11 that receives identification information that can identify an object to be managed and acquisition time of the identification information; a position information receiving unit 12 that receives position information relating to a position of a person who moves around in a target floor while carrying equipment configured to acquire the identification information; and a placement information registration unit 13 that registers the placement information of the object to be managed by registering the position information received by the unit 12 at the same time or almost at the same time as the acquisition time of the identification information that is received by the unit 11 in association with the identification information.

Abstract: An information processing apparatus (2000) includes a determination unit (2020) and a notification unit (2040). The determination unit (2020) determines whether a field of view of a second camera is correct, on the basis of a first captured image (40), a second captured image (50), and relationship information (information indicating the relationship to be satisfied between a field of view of a first camera and the field of view of the second camera). In a case in which the field of view of the second camera is not correct, the notification unit (2040) notifies that the field of view of the second camera is not correct. The first camera is provided in a head-mounted display worn by a person. The second camera is provided in a part other than the head-mounted display.

Abstract: An image processing device (100) includes a change detection unit (101) that detects a target state change in a person on the basis of an input image, and a determination unit (102) that determines an abnormal state in accordance with a detection obtained by detecting occurrences of the target state change in a plurality of persons.

Abstract: An image processing system, an image processing method, and a program capable of implementing an association of a person appearing in a video image through a simple operation are provided. The image processing system includes an input device which accepts input of video images captured by a plurality of video cameras, a display screen generating unit which causes a display device to display at least one video image among the video images inputted from the input device, and a tracked person registering unit which is capable of registering one or more persons appearing in the video image displayed by the display device. When a person appears in the video image displayed by the display device, the display screen generating unit selectably displays person images of one or more persons, which are associable with the person appearing in the video image and which are registered by the tracked person registering unit, in a vicinity of the video image.

Abstract: A surveillance system (1) includes an area information acquisition unit (101), a request information provision unit (102), and a participation consent reception unit (103). The area information acquisition unit (101) acquires information of a surveillance-desired area. The request information provision unit (102) provides participation request information for surveillance that is conducted by using an image capturing unit of a portable terminal in the surveillance-desired area. The participation consent reception unit (103) receives participation consent as a response to the participation request information, from the portable terminal.

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: A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020). The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.

Abstract: A training data storage means 81 stores, as training data, a crowd state image that is a captured image of a crowd state made up of a plurality of persons, a crowd state label that is a label indicating the crowd state of the image, and a crowd position label that is a label indicating information enabling positions of the plurality of persons included in the crowd state image to be specified. A learning means 82 learns a discriminator for recognizing the crowd state from a recognition object image. The learning means 82 learns the discriminator having the crowd state image as input and the crowd state label and the crowd position label as output, using the training data stored in the training data storage means 81.

Abstract: A people-flow-estimation device includes a person-count-estimation unit for estimating the number of people included in a partial area of an image; a crowd-direction-estimation unit for estimating the direction of a crowd in the partial area; a movement-amount-estimation unit for estimating the amount of movement in the partial area; and a generation unit for extracting a partial area where people exist from a plurality of partial areas on the basis of the number of people and generating, on the basis of the number of people, the extracted partial area, and the direction and movement amount of a crowd associated with the partial area, people's flow information relating to a people's flow representing the flow of people in the partial area.

Abstract: A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020). The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.

Abstract: A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020). The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.

Abstract: An image processing system, an image processing method, and a program capable of implementing an association of a person appearing in a video image through a simple operation are provided. The image processing system includes an input device which accepts input of video images captured by a plurality of video cameras, a display screen generating unit which causes a display device to display at least one video image among the video images inputted from the input device, and a tracked person registering unit which is capable of registering one or more persons appearing in the video image displayed by the display device. When a person appears in the video image displayed by the display device, the display screen generating unit selectably displays person images of one or more persons, which are associable with the person appearing in the video image and which are registered by the tracked person registering unit, in a vicinity of the video image.

Abstract: A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020). The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.