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 of a person who grasps an item to be registered in an accounting machine, by analyzing the acquired video, calculating a score indicating a level of reliability of the item that is contained in the video with respect to each of a plurality of possible items that are set previously, acquiring information on the item that is registered in the accounting machine by the person by operating the accounting machine, based on the calculated score, selecting a possible item from the possible items, and based on the selected possible item and the acquired information on the item, generating an alert indicating abnormality of the item that is registered in the accounting machine.

Abstract: An information processing apparatus acquires video image data that includes target objects including a person and an object, and specifies, by using graph data that indicates a relationship between each of target objects stored in a storage unit, a relationship between each of the target objects included in the acquired video image data. The information processing apparatus specifies, by using a feature value of the person included in the acquired video image data, a behavior of the person included in the video image data. The information processing apparatus predicts, by inputting the specified behavior of the person and the specified relationship to a probability model, a future behavior or a future state of the person.

Abstract: A non-transitory computer-readable storage medium storing a specifying program that causes at least one computer to execute a process, the process includes acquiring a video that includes an object; narrowing down, by inputting the acquired video to a machine learning model that refers to reference source data in which attributes of objects are associated with each of a plurality of hierarchies, attributes of the object included in the video among attributes of objects of a first hierarchy; identifying attributes of objects of a second hierarchy under the first hierarchy by using the attributes of the object obtained by the narrowing down; and specifying, by inputting the acquired video to the machine learning model, an attribute of the object included in the video among the attributes of the objects of the second hierarchy.

Abstract: A non-transitory computer-readable storage medium storing an alert generation program that causes at least one computer to execute a process, the process includes acquiring a video of a person who holds a product to be registered in an accounting machine; specifying, by inputting the acquired video to a machine learning model, a product candidate that corresponds to the product included in the video from a plurality of product candidates; acquiring an item of the product input by the person from a plurality of product candidates output by the accounting machine; and generating an alert that indicates an abnormality of the product registered in the accounting machine based on the acquired item of the product and the specified product candidate.

Abstract: A non-transitory computer-readable recording medium stores therein an alert generation program that causes a computer to execute a process including acquiring video image of a person who is scanning a code of a commodity product to an accounting machine, specifying, by analyzing the acquired video image, from among a plurality of commodity product candidates that are set in advance, a commodity product candidate that corresponds to the commodity product that is included in the video image, acquiring an item of the commodity product that has been registered to the accounting machine by scanning the code of the commodity product to the accounting machine, and generating, based on an item of the specified commodity product candidate and the item of the commodity product acquired from the accounting machine, an alert that indicates an abnormality of the commodity product that has been registered to the accounting machine.

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 of a person who grasps an item to be registered in an accounting machine, by analyzing the acquired video, calculating a score indicating a level of reliability of the item that is contained in the video with respect to each of a plurality of possible items that are set previously, acquiring information on the item that is registered in the accounting machine by the person by operating the accounting machine, based on the calculated score, selecting a possible item from the possible items, and based on the selected possible item and the acquired information on the item, generating an alert indicating abnormality of the item that is registered in the accounting machine.

Abstract: A non-transitory computer-readable storage medium storing a specifying program that causes at least one computer to execute a process, the process includes acquiring a video that includes an object; narrowing down, by inputting the acquired video to a machine learning model that refers to reference source data in which attributes of objects are associated with each of a plurality of hierarchies, attributes of the object included in the video among attributes of objects of a first hierarchy; identifying attributes of objects of a second hierarchy under the first hierarchy by using the attributes of the object obtained by the narrowing down; and specifying, by inputting the acquired video to the machine learning model, an attribute of the object included in the video among the attributes of the objects of the second hierarchy.

Abstract: A non-transitory computer-readable storage medium storing an alert generation program that causes at least one computer to execute a process, the process includes acquiring a video of a person who holds a merchandise to be registered in a checkout machine; specifying merchandise candidates corresponding to merchandises included in the video and a number of the merchandise candidates by inputting the acquired video to a machine learning model; acquiring items of merchandises registered by the person and a number of the items of the merchandises; and generating an alert indicating an abnormality of merchandises registered in the checkout machine based on the acquired items of the merchandises and the number of the items of the merchandises, and the specified merchandise candidates and the number of the merchandise candidates.

Abstract: A storage medium storing an information processing program that causes a computer to execute a process that includes acquiring video data that includes a registration machine; extracting image data that include products; specifying a timing when first information regarding a first product registered to the registration machine; specifying certain image data of the image data that includes a second product held in the hand of the user within a certain time period from the timing and placed in a place in an angle of view of the video data that is not a place where a product that has been registered to the registration machine is placed for most of the certain time period; specifying second information regarding the second product by inputting the certain image data to a machine learning model; and generating an alert when the first information and the second information do not match.

Abstract: A non-transitory computer-readable storage medium storing an alert generation program that causes at least one computer to execute a process, the process includes acquiring a video of a person who holds a product to be registered in an accounting machine; specifying, by inputting the acquired video to a machine learning model, a product candidate that corresponds to the product included in the video from a plurality of product candidates; acquiring an item of the product input by the person from a plurality of product candidates output by the accounting machine; and generating an alert that indicates an abnormality of the product registered in the accounting machine based on the acquired item of the product and the specified product candidate.

Abstract: A non-transitory computer-readable storage medium storing a data generation program that causes at least one computer to execute a process, the process includes acquiring product data; generating reference source data in which attributes of products are associated with each of a plurality of hierarchies based on a variance relationship of attributes of products included in the acquired product data; and setting the generated reference source data as data to be referred to by a zero-shot image classifier.

Abstract: An information processing device including: memory configured to store a plurality of pieces of labeled data in which a label that represents a correct answer is associated with object data, a plurality of pieces of unlabeled data that is object data not associated with a correct answer, and a deep learning model; and processor circuitry configured to perform processing including: generating a pseudo label based on the plurality of pieces of unlabeled data and the deep learning model; calculating, based on the pseudo label and each label included in the plurality of pieces of labeled data, a loss for a result obtained by identifying the plurality of pieces of unlabeled data through the deep learning model, and a loss for a result obtained by identifying the plurality of pieces of labeled data through the deep learning model; and updating the deep learning model based on the calculated losses.

Abstract: A behavior recognition method includes acquiring positions of a plurality of respective joints and recognizing a partial behavior that is a subject to be recognized based on a feature value that is calculated from the positions of the respective joints using weights that are to be applied to the respective joints and that are changed according to a type of the partial behavior, by a processor.

Abstract: An information processing apparatus acquires video image data that includes target objects including a person and an object, and specifies, by using graph data that indicates a relationship between each of target objects stored in a storage unit, a relationship between each of the target objects included in the acquired video image data. The information processing apparatus specifies, by using a feature value of the person included in the acquired video image data, a behavior of the person included in the video image data. The information processing apparatus predicts, by inputting the specified behavior of the person and the specified relationship to a probability model, a future behavior or a future state of the person.

Abstract: A behavior recognition method includes acquiring positions of a plurality of respective joints and recognizing a partial behavior that is a subject to be recognized based on a feature value that is calculated from the positions of the respective joints using weights that are to be applied to the respective joints and that are changed according to a type of the partial behavior, by a processor.