Abstract: The present invention provides a learning apparatus (10) including an acquisition unit (11) that acquires learning data associating a training image including a person with a correct answer label indicating a position of each person, a correct answer label indicating whether each of a plurality of keypoints of a body of each of the persons is visible in the training image, and a correct answer label indicating a position, within the training image, of the keypoint being visible in the training image among a plurality of the keypoints, and a learning unit (12) that learns, based on the learning data, an estimation model that estimates information indicating a position of each person, information indicating whether each of a plurality of the keypoints of each person included in a processing image is visible in the processing image, and information being related to a position of each of keypoints for computing a position, within the processing image, of the keypoint being visible in the processing image.

Abstract: An estimation apparatus includes an acquisition unit and an estimation unit. The acquisition unit acquires an image. The estimation unit estimates the number of target objects included in a target region being at least part of the acquired image by using a learned model. Input data of the model are an image. Output data of the model include likelihood data and numerical data. The likelihood data indicate a likelihood of a one or more target objects being included in each of a plurality of partial regions acquired by dividing the image. The numerical data indicate an estimated number of target objects for a partial region estimated to include one or more target objects out of the plurality of partial regions. The estimation unit estimates the number of target objects included in a target region by using the likelihood data and the numerical data.

Abstract: To detect a stagnant object by an image analysis at high accuracy, the present invention provides an image processing apparatus 10 including: an acquisition unit 11 that acquires partial region information for each frame image, the partial region information indicating a situation of a target object in each of a plurality of partial regions within one image for each frame image; and an extraction unit 12 that extracts the partial region from a plurality of the partial regions, based on the partial region information for the each frame image, the partial region to be extracted satisfying at least one of a condition that presence of a plurality of the target objects continues at a predetermined level or higher and a condition that uniformity of a state of an aggregation constituted by a plurality of the target objects being present continues at a predetermined level or higher.

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 information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

Abstract: An image processing device (3000) comprises an input unit (3020) and a presentation unit (3040). The input unit (3020) accepts an input of an operation for movement, on a captured image captured by a camera, of a first image which is superimposed on the captured image on the basis of a predetermined camera parameter indicating the position and attitude of the camera and which indicates a target object having a predetermined shape and a predetermined size set in a real space. The presentation unit (3040) presents the first image indicating the target object in a manner of view corresponding to a position on the captured image after the movement on the basis of the camera parameter.

Abstract: A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

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 guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

Abstract: An image processing device (3000) comprises an input unit (3020) and a presentation unit (3040). The input unit (3020) accepts an input of an operation for movement, on a captured image captured by a camera, of a first image which is superimposed on the captured image on the basis of a predetermined camera parameter indicating the position and attitude of the camera and which indicates a target object having a predetermined shape and a predetermined size set in a real space. The presentation unit (3040) presents the first image indicating the target object in a manner of view corresponding to a position on the captured image after the movement on the basis of the camera parameter.

Abstract: A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

Abstract: An information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

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 device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

Abstract: An information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

Abstract: An information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

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 device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

Abstract: At least one storage stores a dictionary having information corresponding to crowd state images. At least one processor extracts rectangular regions, a size of the rectangular regions is predetermined, from the given image, and recognizes crowd states in the extracted rectangular regions based on the dictionary. The dictionary is acquired by machine learning by use of a plurality of pairs of crowd state images and training label for the crowd state image.

Abstract: An information processing apparatus (2000) includes a recognizer (2020). An image (10) is input to the recognizer (2020). The recognizer (2020) outputs, for a crowd included in the input image (10), a label (30) describing a type of the crowd and structure information (40) describing a structure of the crowd. The structure information (40) indicates a location and a direction of an object included in the crowd. The information processing apparatus (2000) acquires training data (50) which includes a training image (52), a training label (54), and training structure information (56). The information processing apparatus (2000) performs training of the recognizer (2020) using the label (30) and the structure information (40), which are acquired by inputting the training image (52) with respect to the recognizer (2020, and the training label (54) and the training structure information (56).