Abstract: A query acquisition unit (109) acquires a first query moving image having a plurality of time-series first frame images and at least one second query moving image having a plurality of time-series second frame images. A feature value computing unit (103) computes a feature value of a keypoint detected from an object being included in each of the first frame images and the second frame images. A correspondence relationship determination unit (114) determines a second frame image associated with each of the plurality of first frame images. An integration unit (113) performs, for a plurality of combinations of the first frame image and the second frame image associated with each other, processing of integrating the feature values computed from each of the first frame image and the second frame image, and thereby generates an integrated query in which the integrated feature values are arranged in time series.

Abstract: The present invention provides an image processing apparatus (100) including: a query acquisition unit (109) that acquires a plurality of first frame images in time series; a skeletal structure detection unit (102) that detects a keypoint of an object included in each of a plurality of the first frame images; a feature value computation unit (103) that computes a feature value of the detected keypoint for each of the first frame images; a change computation unit (110) that computes a direction of change in the feature value along a time axis of a plurality of the first frame images in time series; and a search unit (111) that searches for a moving image by using the computed direction of change in the feature value as a key.

Abstract: A person state detection apparatus (10) according to the present disclosure includes a skeleton detection unit (11) for detecting a two-dimensional skeletal structure of a person based on a two-dimensional image acquired from a camera, an aggregation unit (12) for aggregating skeleton information based on the two-dimensional skeletal structure detected by the detection unit (11) for each predetermined area in the two-dimensional image, and a state detection unit (13) for detecting a state of a target person for each predetermined area in the two-dimensional image based on the skeleton information aggregated by the aggregation unit (12).

Abstract: In order to enable a user to suitably set a search query, the present invention provides an image retrieval apparatus 10 including: an item value acceptance unit 11 accepting a user input specifying an item value of at least one item in a plurality of items included in a personal attribute; a selection unit 12 selecting a plurality of standard images related to the specified item value from among a plurality of images stored in a storage unit 16; a standard image acceptance unit 13 outputting a plurality of the standard images and accepting a user input specifying one standard image from among the standard images; a generation unit 14 generating a search query, based on a specification result of the standard image; and a retrieval unit 15 performing image retrieval by using the search query.

Abstract: A camera calibration apparatus (10) according to the present disclosure includes a skeleton detection unit (11) for detecting a two-dimensional skeletal structure of a person based on a two-dimensional image captured by a camera, a vector calculation unit (12) for calculating a skeleton vector indicating a direction and a size of a skeleton of the person in the two-dimensional image based on the two-dimensional skeletal structure detected by the skeleton detection unit (11), and a parameter calculation unit (13) for calculating a camera parameter of the camera based on the skeleton vector calculated by the vector calculation unit (12).

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 image processing apparatus (10) according to the present disclosure includes: a skeleton detection unit (11) configured to detect a two-dimensional skeleton structure of a person based on an acquired two-dimensional image; an estimation unit (12) configured to estimate the height of the person when the person stands upright in a two-dimensional image space based on the two-dimensional skeleton structure detected by the skeleton detection unit (11); and a normalizing unit (13) configured to normalize the two-dimensional skeleton structure detected based on the height of the person when the person stands upright estimated by the estimation unit (12).

Abstract: To improve accuracy of processing of searching for an image including a desired person from among a plurality of images, the present invention provides an image search apparatus 10 including an image acquisition unit 11 that acquires a plurality of query images, an attribute information generation unit 12 that generates attribute information from each of a plurality of the query images, an integration unit 13 that generates integrated attribute information by integrating a plurality of pieces of the attribute information generated from each of a plurality of the query images, and a search unit 14 that searches for a target image from a plurality of reference images by using the integrated attribute information.

Abstract: An image processing apparatus includes: an acquisition unit that acquires plural person images, person identification information generated for each of the plural person images and provided to a person in the person image, and time series information indicating a time series of the plural person images; a classification unit that classifies the person image having the same person identification information into an identical group; a display control unit that simultaneously displays, on a display, at least one person image belonging to a target group being a processing target and an item input field for inputting information indicating a correction item to be executed for the target group; and a correction execution unit that decides a display position of the person image belonging to the target group by using the time series information, and the correction execution unit executes correction processing according to the information input in the item input field.

Abstract: To reduce a load on a computer required for processing of searching for a desired person from among a plurality of images, the present invention provides an information processing apparatus 10 including: an acquisition unit 11 that acquires a query indicating a person attribute; and a search unit 12 that refers to a reference image database in which a plurality of reference images are grouped by putting together into reference images including an identical person and clustered, for each group, by putting together those having a similar predetermined attribute, selects, for each group, a representative reference image from one or each of a plurality of clusters, and collates the selected representative reference image with the query, based on the person attribute.

Abstract: To improve accuracy of processing of searching for an image including a desired person from a plurality of images, the present invention provides an image processing apparatus 10 including: an acquisition unit 11 that acquires a search query including pose information indicating a pose of a body of a person and appearance information indicating an appearance of a person; and a search unit 12 that searches for an intended image from a plurality of reference images by using partial pose information indicating a pose of a part of a body of a person in the pose information included in the search query, and partial appearance information being a part of the appearance information included in the search query.

Abstract: To improve accuracy of processing of searching for an image including a desired person from a plurality of images, the present invention provides an image processing apparatus 10 including: an acquisition unit 11 that acquires a search query including pose information indicating a pose of a person and appearance information indicating an appearance of a person; a correction unit 13 that corrects, by using another, one of the pose information and the appearance information; and a search unit 12 that searches for an intended image from a plurality of reference images by using the search query after correction.

Abstract: The present invention provides an image processing apparatus 10 including: an acquisition unit 11 that acquires a search query including pose information indicating a pose of a body of a person and appearance information indicating an appearance of a person; and a search unit 12 that searches for an intended image from a plurality of reference images by using the pose information and the appearance information included in the search query. The appearance information indicates at least one of whether a predetermined kind of a wearing object is worn, whether a predetermined kind of a wearing object is worn on a predetermined portion of a body, whether a wearing object having a predetermined pattern is worn, and whether a wearing object having a predetermined pattern is worn on a predetermined portion of a body.

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: 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 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: A search unit of an image processing apparatus includes an information generation unit and an image selection unit. The information generation unit generates, from each of a plurality of subject images, pose information about a person included in the subject image and other information about the person. The image selection unit classifies the plurality of subject images or selects at least one target image from the plurality of subject images, by using the pose information and the other information. The search unit may further includes a query acquisition unit. The query acquisition unit acquires a query image. Then, the information generation unit further generates the pose information about the person included in the query image and the other information. The image selection unit selects at least one target image by using the pose information and the other information of the query image and each of the plurality of subject images.

Abstract: A tracking apparatus that includes a detection unit that detects a tracked target from at least two frames constituting video data; an extraction unit that extracts at least one key point from the tracked target having been detected, a posture information generation unit that generates posture information of the tracked target based on the at least one key point, and a tracking unit that tracks the tracked target based on a position and an orientation of the posture information of the tracked target detected from each of the at least two frames.

Abstract: A query acquisition unit (610) acquires query information. The query information includes information indicating a relative position of each of a plurality of keypoints. By using the query information and reference pose information, a threshold value setting unit (620) sets a threshold value for selecting at least one target image from a plurality of selection target images. An image selection unit (630) selects at least one target image from the plurality of selection target images. Specifically, the image selection unit (630) selects at least one target image by using relative positions of a plurality of keypoints of a person included in each of the plurality of selection target images, the query information, and the threshold value. The threshold value setting unit (620) may set a threshold value for classifying a plurality of selection target images.