Abstract: A behavior recognition device acquires a video image in which a person is captured, and determines, by analyzing the acquired video image, whether or not an elemental behavior performed by the person is abnormal for each section that is obtained by dividing the video image. When the behavior recognition device determined that the elemental behavior is abnormal, the behavior recognition device extracts, from the acquired video image, the video image included in the section in which the elemental behavior is determined to be abnormal. The behavior recognition device transmits, in an associated manner, the extracted video image included in the section and a category of the elemental behavior that is determined to be abnormal.

Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including, acquiring an image of an object storing items that is captured, extracting an object region of the object contained in the image by analyzing the image acquired, extracting one or more item regions contained in the extracted object region by analyzing the image acquired, estimating an item volume of the items stored in the object based on a position of an outline of the item region with respect to a position of the extracted object region, and specifying a number of items stored in the object based on the specified item volume.

Abstract: A non-transitory computer-readable recording medium has stored therein a setting program that causes a computer to execute a process, the process including acquiring a video from a camera, identifying a depth indicating a distance from the camera to each of constituent elements of the video acquired from the camera, generating a three-dimensional in-store model, generating skeleton information on a person who moves inside the store from the video acquired from the camera, setting a range and a direction of an aisle in the store in the generated three-dimensional in-store model based on a change in the generated skeleton information and setting a detection line in the storage based on the range and the direction of the aisle in the store, the detection line for detecting that the person has extended a hand to a product.

Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including, acquiring a video image in which an inside of a store in which each commodity product is arranged is captured, specifying a relationship between a plurality of persons who visit the inside of the store by analyzing the acquired video image in which the inside of the store is captured, grouping the plurality of persons when the specified relationship between the plurality of persons satisfies a predetermined condition, specifying, by analyzing the acquired video image in which the inside of the store is captured, a behavior exhibited with respect to the commodity product by each of the plurality of grouped persons, and associating the behavior exhibited with respect to the commodity product with a group to which the person who exhibits the behavior with respect to the commodity product belongs.

Abstract: A vehicle controller is configured to execute a recognition process of recognizing a state of an object in a recognizable area set on a front side of a host vehicle, and a driving control process of performing a vehicle control of causing the host vehicle to travel based on a recognition result of the recognition process. The recognizable area includes a regular recognition area and a quasi-recognition area when a band-shaped scheduled traveling area along a travel route on which the host vehicle travels is curved. The driving control process includes performing the vehicle control according to a first driving mode when the recognition result of the recognition process indicates that an obstacle exists in the regular recognition area, and performing the vehicle control according to a second driving mode when the recognition result of the recognition process indicates that an obstacle exists in the quasi-recognition area.

Abstract: A non-transitory computer-readable recording medium stores a label change program for causing a computer to execute a process including: acquiring image data that includes a plurality of areas; setting a label for each of the plurality of areas by inputting the image data to a first machine learning model; specifying a behavior performed by a person located in a first area among the plurality of areas for an object located in a second area; and changing a label set for the second area based on a specified behavior of the person.

Abstract: A handwash monitoring system includes: an imaging device; and a processor. The processor detects a first candidate abnormality existing in a hand of a user from a first image captured by the imaging device before handwashing, and detects a second candidate abnormality existing in the hand of the user from a second image captured by the imaging device after the handwashing. The processor determines a type of an abnormality on the hand of the user based on a difference between a shape of the first candidate abnormality and a shape of the second candidate abnormality wherein the first candidate abnormality and the second candidate abnormality are detected from an identical region.

Abstract: A handwash monitoring system includes an imaging device and a processor. The processor extracts a hand region corresponding to a hand of a user from an image captured by the imaging device. The processor detects a detergent foam region having a color component designated in advance in the hand region. The processor decides whether a hand-washing motion of the user satisfies a specified condition based on a proportion of the detergent foam region to the hand region.

Abstract: An information processing program causes a computer to execute a process including: generating, by inputting a captured image into a machine learning model, skeleton information on a person included in the captured image; detecting, by using the skeleton information, a specific motion of the person related to an object included in the captured image; specifying, by using positional information on the person included in the captured image, a first area in which the person is located at a time of detection of the specific motion from among a plurality of areas; specifying, by reading setting information recorded in a memory, first setting information that is associated with the first area; and identifying, based on the first setting information, a priority level of a notification of an alert related to the specific motion of the person related to the object.

Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including, specifying, from a plurality of images taken by one or more camera devices, a person who visits a store and a first object that contains one or more first commodity products and is used by the person, specifying, from the plurality of images, a location of the person in the store, specifying, based on the location of the person and a location of each of a plurality of terminals in the store, a first terminal in which the person uses from among the plurality of terminals, associating the one or more first commodity products contained in the first object with the first terminal, and performing authentication processing of the one or more first commodity products contained in the first object by using the certificate information.

Abstract: A non-transitory computer-readable recording medium having stored therein an information processing program that causes a computer to execute a process including specifying, a first image area which includes a person who visits a store and a second image area which includes a container containing commodity products, specifying, positional relationship between each of a plurality of persons belonging to a first group and a specific machine placed in the store, identifying, from among the plurality of persons belonging to the first group, a first person who use the specific machine based on the positional relationship, specifying, a second person who carries the container in which the commodity products are contained from among the plurality of persons belonging to the first group, and performing authentication processing of the commodity products contained in the container carried by the second person has been completed.

Abstract: An information processing device obtains each piece of image data captured within a period of time from entering until exiting of a person at a store. The information processing device identifies joint positions of a skeleton related to the person by analyzing each piece of the image data. The information processing device identifies, as an action which indicates a degree of interest of the person in the product, an action performed by the person to a product in the store from the entering until the exiting, on a basis of the joint positions of the skeleton. The information processing device generates a detection rule that correlates the identified action and the product with each other.

Abstract: A non-transitory computer-readable recording medium stores an information processing program for causing a computer to execute processing including: generating skeletal information of a person who stays in a store from a captured image; detecting a specific action of the person for a product using the skeletal information; specifying an area where the person is staying when having detected the specific action in the store using positional information of the person in the image; specifying setting information associated with the specified area; and changing a parameter that evaluates a behavior of the person for the product on the basis of the specified setting information.

Abstract: An information processing apparatus detects a person and a commodity product from image data. The information processing apparatus acquires, from the image data, a position of a skeleton of the person included in skeleton information on the detected person. The information processing apparatus specifies, based on the position of the skeleton of the person, a behavior of the person exhibiting with respect to the commodity product. The information processing apparatus specifies, based on the specified behavior of the person exhibiting with respect to the commodity product, a combination of an attribute of the commodity product and a degree of interest in the commodity product.

Abstract: An information processing program causes a computer to execute a process including: specifying, from an image that is captured by a camera, a person and a plurality of objects, generating, by inputting the image of the person into a machine learning model, skeleton information on the person, identifying, based on the plurality of objects and the skeleton information, a first feature value associated with one or more first motions of the person who retrieves an object from among the plurality of objects, identifying a second feature value associated with one or more objects registered to a first terminal by the person from among the plurality of object, and generating, based on a difference between the first feature value and the second feature value, an alert indicates that an object retrieved by the person is not registered in the first terminal.

Abstract: A touch detection apparatus including a first camera configured to capture a plurality of first images, a second camera configured to capture a plurality of second images, a memory, and a processor configured to detect a plurality of first positions corresponding to a tip of the finger in the plurality of first images, obtain a plurality of second positions in the plurality of second images corresponding to the plurality of first positions, calculate a plurality of third positions based on the plurality of first positions and the plurality of second positions, the plurality of third positions being positions in real space of the tip of the finger, determine whether or not a calculated feature value calculated based on the plurality of third positions satisfies a condition, and determine that an action of touching an object has been performed when the calculated feature value satisfies the condition.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: obtaining a first image and a second image; determining a first direction of a certain first reference point of a first region of a user included in the first image and a second direction of a certain second reference point of a second region of the user included in the second image; extracting a first feature quantity from the first region and a second feature quantity from the second region; generating a third feature quantity from the first feature quantity or a fourth feature quantity from the second feature quantity on the basis of the first direction or the second direction; and authenticating the user on the basis of similarity between the first feature quantity or the third feature quantity.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: acquiring a first image and a second image which are captured by cameras having optical axes different from each other; calculating a calculation length of a first portion of a user in a world coordinate system based on parallax of a camera coordinate system of a first portion which is included in the first image and the second image; and detecting non-synchronization state of image capturing timings of the first image and the second image based on a change amount of the calculation length.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: obtaining an actual image including a motion part and a target object of an operation; recognizing the motion part from the actual image; defining an operation area of the actual image based on a position of the motion part; computing a first image feature of the operation area; and generating a display image by setting, based on the first image feature, the operation area and/or the motion part to be a second image feature which differs from the first image feature.

Abstract: An apparatus uses a projector including a display surface and projecting an image on a projection surface. The apparatus detects an object region where a target object is captured in a depth image, a value of each pixel in the depth image representing a distance between the target object and a depth sensor, calculates a position of the target object, which is captured at each pixel corresponding to the target object in the object region, in a real space, shifts the calculated position of the target object in the real space to a position on the projection surface, calculates a display region on the display surface of the projector corresponding to the target object by calculating a position on the display surface of the projector corresponding to the shifted position, and displays an image of the target object in the display region on the display surface of the projector.