Abstract: An information processing apparatus (10) according to the present invention includes: an acquisition unit (11) that acquires an image captured at a site where a trouble happens; an information generation unit (12) that detects a person from the image, and also generates information relevant to the detected person, based on the image; and an output unit (13) that outputs the information relevant to the detected person.

Abstract: A person state detection apparatus (10) according to the present disclosure includes an acquisition unit (11) for acquiring a two-dimensional image obtained by capturing a person, a skeletal structure detection unit (12) for detecting a two-dimensional skeletal structure of the person based on the acquired two-dimensional image, an estimation unit (13) for estimating a height of the person standing upright in a two-dimensional image space based on the detected two-dimensional skeletal structure, and a state detection unit (14) for detecting the state of the person based on a height of an area where the person is present in the two-dimensional image.

Abstract: An image processing apparatus and the like that are able to generate or provide a more attractive video content are provided. An image processing apparatus includes: a feature motion determination unit that analyzes a motion of a target, based on capturing data, and determines a feature motion; a trigger detection unit that detects a trigger from the capturing data or distribution data for distribution to a viewer being generated from the capturing data; and a generation unit that extracts the determined feature motion of the target from the capturing data in response to detection of the trigger, and generates different distribution data for distribution to a viewer, based on the feature motion.

Abstract: An image processing system (10) includes a posture estimation acquiring unit (11) configured to acquire an estimation result of estimating a posture of a person included in a first image and a person included in a second image, an object recognition acquiring unit (12) configured to acquire a recognition result of recognizing an object, other than the persons, included in the first image and an object included in the second image, and a similarity determining unit (13) configured to perform a similarity determination of the similarity of the first image to the second image based on the estimation results of the postures of the persons in the first image and the second image acquired by the posture estimation acquiring unit (11) and the recognition results of the object in the first image and the second image acquired by the object recognition acquiring unit (12).

Abstract: The present invention provides an action classification apparatus (10) including: an extraction unit (11) that extracts, from a moving image, a plurality of human movements presented in any number of frames; a time-series feature value computation unit (12) that computes a time-series feature value for the any number of frames by computing, for each of the extracted human movements, a feature value of a human pose in each of the any number of frames; a similarity computation unit (13) that computes a similarity between a plurality of the time-series feature values; and a classification unit (14) that classifies the plurality of extracted human movements, based on the similarity.

Abstract: An action evaluation system includes at least one memory storing instructions, and at least one processor configured to execute the instructions to detect a predetermined unit action associated with a posture of a worker from skeleton data about a structure of a body of the worker extracted from image data obtained by capturing a series of work actions performed by the worker on a work object, determine whether or not the unit action is similar to a predetermined registration action and output a result of the determination.

Abstract: A search apparatus (10) according to the present invention includes: a key frame extraction unit (11) that extracts a plurality of key frames from a query moving image; and a search unit (12) that searches for a moving image similar to the query moving image, based on a pose of a human body included in each of the plurality of key frames and a time interval between the plurality of key frames.

Abstract: The present invention provides an image processing apparatus (10) including: a screen generation unit (11) that generates a screen including a playback region playing back and displaying a moving image including a plurality of frame images and a missing key point display region indicating a key point of a human body not being detected in a human body included in the frame image displayed in the playback region, and causes a display unit to display the generated screen; and an input reception unit (12) that receives an input specifying a section to be extracted from the moving image.

Abstract: An image processing system includes a first terminal and a second terminal communicably connected to each other. The first terminal includes an image data acquisition unit configured to acquire image data related to an image of a predetermined space from a camera that photographs the predetermined space. At least one of the first terminal or the second terminal includes an analysis unit configured to analyze whether skeletal data relating to a structure of a body of a person included in the image are similar to predetermined reference skeletal data. The second terminal includes a detection unit configured to detect a predetermined event based on a result of the analysis, and an output unit configured to output result information that is a result of the detection.

Abstract: The present invention provides an image processing apparatus (100) including a skeleton structure detection unit (101) that executes processing of detecting a plurality of key points associated with each of a plurality of parts of a human body included in an image, a feature value computation unit (102) that computes a feature value of each of the key points being detected, an input unit (106) that receives a user input for specifying a method of integrating the feature values of the key points detected from each of a plurality of human bodies for each of the parts, and a processing unit (103) that computes an integrated feature value of each of the parts by performing integration for each of the parts by the method specified by the user input, and performs an image search or image classification, based on the integrated feature value.

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: Provided are a passenger monitoring apparatus and so forth capable of monitoring passengers appropriately. A passenger monitoring apparatus includes an image acquiring unit configured to acquire image data capturing an image of a passenger on a means of transportation, a posture identifying unit configured to identify a posture of the passenger based on the acquired image data, a position identifying unit configured to identify a position of the passenger within the means of transportation, and a determining unit configured to determine whether the identified posture of the passenger matches a predetermined posture pattern corresponding to the identified position of the passenger.

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.

Abstract: A query acquisition unit (610) acquires pose information (hereinafter, described as query pose information) that is information to be a query and indicates a pose of a person. A search information acquisition unit (620) acquires a plurality of pieces of search pose information. The search pose information is pose information about an image (hereinafter, described as a target image) to be a search target, and is stored in a database by a plurality of target images. A selection unit (630) selects, from among the plurality of pieces of search pose information, two or more pieces of the search pose information whose degree of similarity to the query pose information satisfies a reference. The selection processing becomes substantially processing of selecting a target image similar to an image (hereinafter, described as a query image) associated with the query pose information.

Abstract: Provided is a motion determination apparatus and the like that can determine a motion of a person faster and more efficiently. A motion determination apparatus includes a position specifying means for specifying a position of a person from acquired image data, a motion specifying means for specifying a first characteristic motion by analyzing a motion of the person in the image data in accordance with a first characteristic motion pattern associated with a first position of the specified person, and specifying a second characteristic motion by analyzing a motion of the person in the image data in accordance with a second characteristic motion pattern associated with a second position of the specified person, and a determination means for determining whether the specified characteristic motion is in a predetermined order.

Abstract: A query acquisition unit (610) acquires pose information (hereinafter, described as query pose information) that is information to be a query and indicates a pose of a person. A search information acquisition unit (620) acquires a plurality of pieces of search pose information. The search pose information is pose information about an image (hereinafter, described as a target image) to be a search target, and is stored in a database by a plurality of target images. A selection unit (630) selects, from among the plurality of pieces of search pose information, two or more pieces of the search pose information whose degree of similarity to the query pose information satisfies a reference. The selection processing becomes substantially processing of selecting a target image similar to an image (hereinafter, described as a query image) associated with the query pose information.

Abstract: An event detection system (10) includes: a calculation unit (16) that calculates a degree of similarity between at least a part of skeletal information extracted from a captured image in which a user who is visiting an ATM is captured and at least a part of registration skeletal information, the registration skeletal information being extracted from a registration image showing a phone call action of a person and being registered in an action database; and a determination unit (17) that determines that an event related to the ATM has been detected when the degree of similarity is equal to or greater than a predetermined threshold. Thus, a problematic event at an ATM can be easily detected while protecting privacy.

Abstract: One of the objects of the present invention is to provide an electrode having an active material layer and an insulating layer formed on a current collector in which the insulating layer has sufficient adhesion and which can be manufactured without significantly changing the manufacturing process. The electrode comprises a current collector 110, an active material layer 111 formed on at least one surface of the current collector 110, and an insulating layer 112 formed on the surface of the active material layer 111. The active material layer 111 includes an active material and a first binder. The insulating layer 112 includes non-conductive particles and a second binder. An interfacial binder ratio, which is a ratio of amount of a binder existing in an interface region between the active material layer 111 and the insulating layer 112 per unit thickness of the interface region to amount of a binder existing in the active material layer 111 per unit thickness of the active material layer 111, is 85% or more.