Abstract: The invention addresses the problem of improving labor of a registration operation of a product and enabling a checkout operator to recognize a recognition result. In order to solve the problem, the invention provides a registration apparatus (10) including: an image acquisition unit (11) that acquires an image obtained by imaging a placement surface of a table, on which a product is placed; an analysis unit (12) that recognizes the product included in the image, a registration unit (14) that registers the recognized product as a checkout target, and an output unit (13) that outputs a name of the recognized product by voice.

Abstract: The invention addresses the problem of improving labor of a registration operation of a product and enabling a checkout operator to recognize a recognition result. In order to solve the problem, the invention provides a registration apparatus (10) including: an image acquisition unit (11) that acquires an image obtained by imaging a placement surface of a table, on which a product is placed; an analysis unit (12) that recognizes the product included in the image, a registration unit (14) that registers the recognized product as a checkout target, and an output unit (13) that outputs a name of the recognized product by voice.

Abstract: The invention addresses the problem of improving labor of a registration operation of a product and enabling a checkout operator to recognize a recognition result. In order to solve the problem, the invention provides a registration apparatus (10) including: an image acquisition unit (11) that acquires an image obtained by imaging a placement surface of a table, on which a product is placed; an analysis unit (12) that recognizes the product included in the image, a registration unit (14) that registers the recognized product as a checkout target, and an output unit (13) that outputs a name of the recognized product by voice.

Abstract: This invention provides a processing apparatus (10) including a container identification score computation unit (11) that computes an identification score of a container for a product, based on an image to be processed containing the product, a product identification score computation unit (12) that computes an identification score of the product, based on the image to be processed, and a first identification unit (13) that decides identification information of the product, based on the computed identification score of the container and the computed identification score of the product.

Abstract: An information processing device 1X mainly includes a slow motion video generation means 16X and a digest candidate generation means 18X. The slow motion video generation means 16X generates a slow motion video SL being video data in which a playback speed of the first candidate video data Cd1 is slower than a normal speed, with respect to first candidate video data Cd1 being video data corresponding to a segment of a portion selected from video material data Dm. Here, the digest candidate generation means 18X generates digest candidate Cd being a candidate of a digest of the video material data Dm based on the video material data Dm and the slow motion video SL.

Abstract: In order to attain an example object of further improving accuracy in tracking a tracking target in an image sequence, an object tracking apparatus includes: an image acquisition section of acquiring an image from an image sequence; a detection section of detecting an object region including an object from the image, and calculating an evaluation value related to the object region; a decision section of deciding, in accordance with the evaluation value, to what degree appearance similarity based on appearance features of the object and the tracking target is referred to among a plurality of types of similarity used to associate the object region with a tracking target in the image sequence; and an identification section of referring to at least any of the plurality of types of similarity based on a decision result to identify a correspondence between the object region and the tracking target.

Abstract: A teaching data correction device sets, for teaching data indicating an object area where an object of interest exists in a training image, a correction candidate area which is an area to be a correction candidate of the object area, the training image being used for learning. The teaching data correction device generates an output machine based on the correction candidate area, the output machine being learned to output, when an image is inputted thereto, an identification result or a regression result relating to the object of the interest. Then, the teaching data correction device updates the teaching data by the correction candidate area based on an accuracy of the output machine, the accuracy being calculated based on the identification result or the regression result outputted by the output machine.

Abstract: This invention provides a processing apparatus (10) including a container identification score computation unit (11) that computes an identification score of a container for a product, based on an image to be processed containing the product, a product identification score computation unit (12) that computes an identification score of the product, based on the image to be processed, and a first identification unit (13) that decides identification information of the product, based on the computed identification score of the container and the computed identification score of the product.

Abstract: An image capturing apparatus includes an image acquisition unit, a display processing unit, and a storage processing unit. The display processing unit displays, on a display, an image acquired by the image acquisition unit. After the storage processing unit stores a first image in an image storage unit, the display processing unit repeatedly displays a latest image (a real-time image) generated by an image capturing unit, in a second display region being adjacent to a first display region, which is a part of the display, of the display, while displaying at least an edge of the first image in the first display region. Then, the storage processing unit performs processing for storing the real-time image or an image generated thereafter, in the image storage unit as a second image, when continuity of an edge of the first image and the real-time image in the display satisfies a criterion.

Abstract: In an object recognition device, an image acquisition means acquires an image. A recognition means recognizes each of objects included in an image, and generates each recognition result. A graph generation means defines each of the recognized objects on one of a node and an edge and defines each of relationships among the objects on another one of the node and the edge, based on each recognition result. A graph analysis means analysis a graph and generates an analysis result indicating the relationships among the objects.

Abstract: An information processing apparatus (2000) analyzes a captured image (12) generated by a camera (10) to determine a motion of a person. The camera (10) is a camera that images a display place where an item is displayed. The information processing apparatus (2000) detects a reference position (24) from the captured image (12). The reference position (24) indicates a position of a hand of the person. The information processing apparatus (2000) decides an analysis target region (30) to be analyzed in the captured image (12) using the reference position (24). The information processing apparatus (2000) analyzes the analysis target region (30) to determine the motion of the person.

Abstract: A product identification apparatus (20) includes an acquisition unit (210), an image processing unit (220), and a storage processing unit (230). The acquisition unit (210) acquires an image generated by an image capturing apparatus 10. The image includes a product shelf (40) and a product (50). The image processing unit (220) determines a position where continuity of the product shelf (40) is broken by processing the image acquired by the acquisition unit (210), and divides the product shelf (40) into a unit region by using the position. Further, the image processing unit (220) determines a kind and a product name of the product (50) by processing the image acquired by the acquisition unit (210). The storage processing unit (230) causes a storage unit (240) to store product identification information of the product (50) located in the unit region, for each unit region of the product shelf (40).

Abstract: The present invention provides a processing apparatus (10) including a product database management unit (11) that registers a registration target product in a product database, and a special information management unit (13) that, when a similar-appearance product being similar in appearance to the registration target product at a predetermined level or more is registered in the product database, registers both the registration target product and the similar-appearance product as first processing target products requiring first processing, and registers information associating the registration target product and the similar-appearance product.

Abstract: The present invention provides a processing apparatus (10) including: an object region detection unit (11) that detects, from an image, an object region being a region including an object; a reliability computation unit (12) that computes, for each product, reliability in which each of the products is included in an image of the object region; an image parameter computation unit (13) that computes an image parameter related to an image of the object region; a threshold value setting unit (14) that sets a threshold value of the reliability, based on the image parameter; and a product determination unit (15) that determines, based on the reliability of each of the products and the threshold value, the product included in an image of the object region.

Abstract: The present invention provides a processing apparatus (10) including: an acquisition unit (11) that acquires a product pickup image indicating a scene of picking up a product from a first product shelf by a customer; a determination unit (12) that determines a product group displayed on the first product shelf, based on shelf-based display information indicating a product displayed on each product shelf; and a first recognition unit (13) that recognizes a product included in the product pickup image by recognition processing in which the determined product group is set as a collation target among pieces of product feature value information indicating a feature value of an external appearance of a plurality of products.

Abstract: The present invention provides a processing apparatus (10) including an acquisition unit (11) that acquires an image including a product, a detection unit (12) that detects, from the image, a target region being a region including an observation target, a computation unit (13) that computes an evaluation value of an image of the target region, and a registration unit (14) that registers the image as an image for learning, when the evaluation value satisfies a criterion.

Abstract: The information processing device mainly includes a reference time determination means 16X, a further camera shot extraction means 17X, and a digest candidate generation means 18X. The reference time determination means 16X determines a reference time Tref being a time or a time period for extracting video data of a second camera different from a first camera, based on candidate video data Cd1 to be a candidate of a digest of a first video material data from the first camera. The further shot extraction means 17X extracts a further camera shot Sh corresponding to a portion of a second video material data from the second camera based on the reference time Tref. The digest candidate generation means 18X generates a digest candidate Cd being a digest for the first and second video material data, based on the candidate video data Cd1 and the further camera shot Sh.

Abstract: The information processing device 1X mainly includes a pair determination means 15X and a relevance degree calculation unit 16X. The pair determination means 15X is configured to determine a pair of data at least one member of which is a first digest candidate that is a candidate of a digest, the data including at least one of video data or audio data. The relevance degree calculation means 16X is configured to calculate a degree of relevance indicating a degree of probability that the pair determined by the pair determination means 15X is included in the digest at a time.

Abstract: The video processing device includes a video acquisition means, a person identification means, an importance calculation means, and an importance integration means. The video acquisition means acquires a material video. The person identification means identifies a person from the material video. The importance calculation means calculates an importance of the material video. The importance integration means integrates the importance for each person and outputs a person importance indicating an importance for each person.

Abstract: The information processing device 1X mainly includes an input data acquisition means 14X, an importance degree calculation means 15X, and an attention part identification means 16X. The input data acquisition means 14X is configured to acquire input data “Di” including at least one of video data or audio data. The importance degree calculation means 15X is configured to calculate a degree of importance of the input data Di. The attention part identification means 16X is configured to identify an attention part of the input data Di in a calculation of the degree of importance.