Abstract: The authentication data generation device controls a single image-taking device to take images of a plurality of authentication parts of the authentication target person with different settings. Then, the authentication data generation device outputs taken images of the plurality of authentication parts obtained by the image-taking as authentication data for the authentication parts.

Abstract: The present invention provides a processing system (10) including: a sample image generation unit (11) that generates a plurality of sample images being each associated with a partial region of a first image generated using a first lens; an estimation unit (12) that generates an image content estimation result indicating a content for each of the sample images using an estimation model generated by machine learning using a second image generated using a second lens differing from the first lens; a task execution unit (14) that estimates a relative positional relationship of a plurality of the sample images in the first image; a determination unit (15) that determines whether an estimation result of the relative positional relationship is correct; and a correction unit (16) that corrects a value of a parameter of the estimation model when the estimation result of the relative positional relationship is determined to be incorrect.

Abstract: A cluster transfer robot includes a body, two clamping arms arranged at the bottom of the body, and a first driving mechanism arranged at the bottom of the body. The first driving mechanism includes a driving wheel configured for driving the transfer robot to move. The clamping arm includes a second driving mechanism and a rotating assembly connected to the second driving mechanism, the rotating assembly includes a rotating arm rotatably connected to the body and a supporting wheel arranged on the rotating arm for supporting the transfer robot, the rotating arm is provided with a clamping portion for clamping automobile tire, and two clamping portions of two rotating arms are arranged facing to each other to define a clamping space for the automobile tire when the two clamping portions are close to each other. The cluster transfer robot can greatly reduce the construction cost of intelligent parking lots.

Abstract: A preliminary image is captured that includes parts of an authentication target person. Main authentication targets are determined. The main authentication targets are those parts that each have an acceptable image-capturing state. A single image-capturing device can then be controlled to successively capture images of the main authentication parts of the authentication target person that have been determined with different settings. These images of the main authentication parts that have been captured can then be output. For instance, authentication of the target person may be performed using authentication data for each main authentication part, where such authentication is successfully when authentication for all the main authentication parts is successful.

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: 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: The present disclosure is to provide an information processing apparatus capable of improving accuracy of search results. The information processing apparatus (10) according to the present disclosure includes: a management unit (11) that manages at least one object, an attribute by which the object is classified, and a certainty factor indicating a probability that the object has the attribute in association with each other; a calculation unit (12) that, using a certainty factor of an attribute designated as a search condition and a certainty factor being managed in association with an attribute identical or similar to the attribute designated as the search condition, calculates a score indicating a matching degree of the object with the search condition; and a display unit (13) that displays the object based on the calculated score.

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 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 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 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 data processing apparatus (1) of the present invention includes a unit that retrieves a predetermined subject from moving image data. The data processing apparatus includes a person extraction unit (10) that analyzes moving image data to be analyzed and extracts a person whose appearance frequency in the moving image data to be analyzed satisfies a predetermined condition among persons detected in the moving image data to be analyzed, and an output unit (20) that outputs information regarding the extracted person.

Abstract: The present invention provides a processing apparatus (10) including an inter-face-image-group determination unit (11) that determines whether a similarity score between a first representative face image in a first face image group and a second representative face image in a second face image group satisfies a first condition, an intra-face-image-group determination unit (12) that determines, for each of the first face image group and the second face image group, whether a second condition defining a relationship between the representative face image and another image in the face image group is satisfied, based on a similarity score between the first representative face image and each of other face images in the first face image group and a similarity score between the second representative face image and each of other face images in the second face image group, and a processing unit (13) that associates a same person identifier (ID) with a plurality of face images included in the first face image group and t

Abstract: The present invention provides an image processing apparatus (10) including: a first estimation unit (11) performing image analysis on a panoramic image acquired by panoramically expanding a fisheye image generated by a fisheye lens camera and estimating a human action indicated by the panoramic image; a second estimation unit (12) performing image analysis on a partial fisheye image being a partial area in the fisheye image without panoramic expansion and estimating a human action indicated by the partial fisheye image; and a third estimation unit (13) estimating a human action indicated by the fisheye image, based on an estimation result based on the panoramic image and an estimation result based on the partial fisheye image.

Abstract: The present invention provides an image analysis system (10) including: a plurality of image analysis units (11); a selection unit (12) that selects at least one of a plurality of the image analysis units (11); an analysis control unit (15) that causes the selected image analysis unit (11) to analyze an image specified by a user; and an output unit (17) that outputs an analysis result of the image.

Abstract: The present invention provides a learning apparatus (10) including: an acquisition unit (11) that acquires an image; a similarity computation unit (12) that computes a similarity between the acquired image, and a first image being accumulated in advance and indicating an abnormal state; a registration unit (13) that registers, as a second image indicating a normal state, the acquired image whose similarity is equal to or less than a first reference value; and a learning unit (14) that generates an estimation model for discriminating between normal and abnormal by machine learning using the first image and the second image.

Abstract: A retrieval apparatus (2000) is accessible to a storage region (50) in which a plurality of pieces of object information (100) are stored. The object information (100) includes a feature value set (104) being a set of a plurality of feature values acquired regarding an object. The retrieval apparatus (2000) acquires a feature value set (retrieval target set (60)) being a retrieval target, and determines the object information (100) having the feature value set (104) similar to the retrieval target set (60) by comparing the retrieval target set (60) with the feature value set (104). Herein, in a case where a feature value set satisfies a predetermined condition, the retrieval apparatus (2000) performs comparison between the feature value set and another feature value set by using a part of feature values within the feature value set. Further, the retrieval apparatus (2000) outputs output information relating to the determined object information (100).

Abstract: The present invention provides an image processing apparatus (100) including: an image acquisition unit (101) that acquires an image; a selection unit (109) that selects at least one person included in the image, based on a user input; a skeleton structure detection unit (102) that detects a two-dimensional skeleton structure of a person included in the image; a feature value computation unit (103) that computes a feature value of the detected two-dimensional skeleton structure; and a search unit (105) that searches, from analysis target images, for the analysis target image including a person in a state similar to a state of the selected person, based on a degree of similarity to a feature value of the two-dimensional skeleton structure.

Abstract: The present invention provides an image processing apparatus (100) including an image acquisition unit (101) that acquires a query image, based on an input keyword, a skeleton structure detection unit (102) that detects a two-dimensional skeleton structure of a person included in the query image, a feature value computation unit (103) that computes a feature value of the detected two-dimensional skeleton structure, and a search unit (105) that searches, based on a degree of similarity of the computed feature value, for an analysis target image including a person in a state similar to a state of a person included in the query image from the analysis target image.

Abstract: The present invention provides an image processing apparatus including: an image acquisition unit acquiring a candidate of a query image; a skeletal structure detection unit detecting a two-dimensional skeletal structure of a person included in a candidate of the query image; a query evaluation unit computing an evaluation value of a candidate of the query image, based on a detection result of the two-dimensional skeletal structure; a selection unit selecting a query image out of candidates of the query image, based on the evaluation value; a feature value computation unit computing a feature value of the two-dimensional skeletal structure detected from the query image; and a retrieval unit retrieving an analysis target image including a person in a pose similar to a pose of a person included in the query image out of analysis target images, based on a degree of similarity of the computed feature value.