Abstract: An imaging element includes a reading circuit that reads out pixel data obtained by imaging a subject at a first frame rate, a memory that stores the read pixel data, and an output circuit that outputs image data based on the stored pixel data at a second frame rate. The first frame rate is a frame rate higher than the second frame rate. The pixel data includes phase difference pixel data and non-phase difference pixel data different from the phase difference pixel data. The reading circuit reads out the pixel data of each of a plurality of frames in parallel within an output period defined by the second frame rate as a period in which the image data of one frame is output, and performs reading of the non-phase difference pixel data and a plurality of reading of the phase difference pixel data within the output period.

Abstract: An action detection system (10) includes an action specification unit (18) configured to start specification of at least one action ID based on at least part of skeleton information extracted from video data that is a captured video of a user in response to detection of the user visiting checkout machine determined in advance, a determination unit (20) configured to determine whether or not an action sequence including the specified at least one action ID corresponds to registration action sequences registered in advance, and a processing control unit (21) configured to execute processing determined in advance in accordance with a determination result.

Abstract: An imaging apparatus includes a storage portion that stores captured image data obtained by imaging a subject by an imaging element and is incorporated in the imaging element, an output portion that is incorporated in the imaging element, and a plurality of signal processing portions that are disposed outside the imaging element, in which the output portion includes a plurality of output lines each disposed in correspondence with each of the plurality of signal processing portions and outputs each of a plurality of pieces of image data into which the captured image data stored in the storage portion is divided, to a corresponding signal processing portion among the plurality of signal processing portions from the plurality of output lines, and any of the plurality of signal processing portions combines the plurality of pieces of image data.

Abstract: A skeleton information acquisition means analyzes an in-vehicle video acquired from a camera that captures an image of a vehicle interior of a moving object, and acquires skeleton information of each of one or more passengers boarding on the moving object. A holding determination means determines whether the passenger is holding a pole, based on skeleton information of the passenger and a position of the pole in the moving object. An alert output means outputs an alert when it is determined that the passenger is not holding the pole.

Abstract: To utilize results of analyzing a plurality of videos, a video analysis apparatus 100 includes a type receiving unit 110, an acquiring unit 111, and an integration unit 112. The type receiving unit 110 accepts selection of a type of engine in order to analyze each of a plurality of videos and detect a detection target included in each of the plurality of videos. The acquiring unit 111 acquires results of analyzing the plurality of videos by using the selected type of engine among results of analyzing the plurality of videos by using a plurality of types of the engines. The integration unit 112 integrates the acquired results of analyzing the plurality of videos.

Abstract: To utilize a result of analyzing an interval between persons included in a video, a video analysis apparatus 100 includes an interval acquisition unit 110 and a display control unit 113. The interval acquisition unit 110 acquires an interval between persons included in a video acquired by photographing a target region. The display control unit 113 causes a display unit to display a time-series transition of first information relating to the number of persons with the acquired interval being equal to or less than a reference value.

Abstract: To utilize a result of image analysis, an image analysis apparatus 100 includes an analysis result acquisition unit 110 and a counting unit 111. The analysis result acquisition unit 110 acquires analysis information being information acquired by analyzing a still image and including an appearance attribute to which a person included in the still image belongs. The counting unit 111 counts, for each appearance attribute, the number of persons belonging to the appearance attribute in the still image by using the analysis information, and generates counting information indicating a result of the counting in units of still images.

Abstract: An information processing apparatus (2000) includes a summarizing unit (2040) and a display control unit (2060). The summarizing unit (2040) obtains a video (30) generated by each of a plurality of cameras (10). Furthermore, the summarizing unit (2040) performs a summarizing process on the video (30) and generates summary information of the video (30). The display control unit (2060) causes a display system (20) to display the video (30). Here, the display control unit (2060) causes the display system (20) to display the summary information of the video (30) in response to that a change in a display state of the video (30) in the display system (20) satisfies a predetermined condition.

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: To achieve faster search processing in the search processing of a similar image, based on a feature value of each of a plurality of keypoints of a human body included in an image, the present invention provides an image processing system 10 including: a target image acquisition unit 11 that acquires a target image; a skeleton structure detection unit 12 that performs processing of detecting a keypoint of a human body included in the target image; a first verification unit 13 that extracts a first reference image whose relationship with the target image satisfies a first extraction condition, from among a plurality of reference images, based on the detected keypoint; and a second verification unit 14 that extracts a second reference image whose relationship with the target image satisfies a second extraction condition, from among the first reference images, based on the detected keypoint.

Abstract: The present invention provides a detection apparatus (10) including an equipment information acquisition unit (12) that acquires equipment information indicating a position of equipment being present in an interior of a moving body, a person information generation unit (11) that determines a position of a person being present in the interior of the moving body, based on an image indicating the interior of the moving body, and generates person information indicating the position of the person, and detection unit (13) that detects a danger state occurring in the interior of the moving body, based on the equipment information and the person information.

Abstract: An information processing apparatus (2000) includes a summarizing unit (2040) and a display control unit (2060). The summarizing unit (2040) obtains a video (30) generated by each of a plurality of cameras (10). Furthermore, the summarizing unit (2040) performs a summarizing process on the video (30) and generates summary information of the video (30). The display control unit (2060) causes a display system (20) to display the video (30). Here, the display control unit (2060) causes the display system (20) to display the summary information of the video (30) in response to that a change in a display state of the video (30) in the display system (20) satisfies a predetermined condition.

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: To efficiently determine learning data for estimating an unknown behavior by a machine, an information processing device according to the present invention is provided with: an information acquisition means for acquiring an image including a person; and a feature conversion means for converting skeleton information extracted from the image into a feature vector which indicates elements constituting a behavior of the person and is a lower dimension than the skeleton information.

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 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 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 action recognition apparatus 1 including: a generation unit 2 that generates an addition image by adding a setting image to a target object image; an action recognition and estimation unit 3 that performs action recognition regarding the target object, outputs action recognition information indicating the result of action recognition, estimates the setting image, and outputs estimation information indicating the result of estimation; an action recognition loss calculation unit 4 that calculates an action recognition loss by using reference action recognition information generated in advance, and the action recognition information; an estimation loss calculation unit 5 that calculates an estimation loss by using reference estimation information generated in advance, and the estimation information; and a learning parameter updating unit 6 that updates learning parameters by using the action recognition loss and the estimation loss.

Abstract: An image processing system includes: a receiving unit configured to receive an input of a plurality of image frames constituting a video from an imaging apparatus; a detection unit configured to detect a feature point included in an image frame to be processed in the plurality of image frames; and an output unit configured to output an output image obtained by superimposing an image frame to be processed of an area detected as a feature point on a background image generated from at least some of a plurality of image frames.