Abstract: A state of a display rack is determined more accurately. An image processing device includes a detection unit configured to detect a change area related to a display rack from a captured image in which an image of the display rack is captured, and a classification unit configured to classify a change related to the display rack in the change area, based on a previously learned model of the change related to the display rack or distance information indicating an image captured before an image capturing time of the captured image.

Abstract: The present invention provides a function capable of detecting, with a higher degree of precision, a region that has a high probability of not having been recognized. An image processing apparatus according to the present invention is provided with: a recognition means for recognizing a product from a captured image obtained by capturing an image of a displayed product; and a detection means for detecting a region of a product that is included in the captured image but is not recognized by the recognition means, on the basis of furniture information related to furniture in which the product is displayed.

Abstract: An image generation means 81 generates an image using a generator. A discrimination means 82 discriminates whether an object image includes a feature of a target image, using a discriminator. A first update means 83 updates the generator so as to minimize a first error representing a degree of divergence between a result of discriminating a generated image using the discriminator and a correct answer label associated with the generated image, the generated image being the image generated using the generator. A second update means 84 updates the discriminator so as to minimize a second error representing a degree of divergence between each of respective results of discriminating the generated image, a first actual image including the feature of the target image, and a second actual image not including the feature of the target image using the discriminator and a correct answer label associated with a corresponding image.

Abstract: An abnormality detection apparatus (100) includes an acquisition unit (110) that acquires input data, an abnormality degree computation unit (120) that has a discriminative model for computing an abnormality degree of input data, inputs the acquired input data to the discriminative model, and thereby computes an abnormality degree of the input data, a normality degree computation unit (130) that has a normality model for computing a normality degree of input data, inputs the input data to the normality model, and thereby computes a normality degree of the input data, a determination unit (140) that has a determination model for performing determination relating to an abnormality level of input data, inputs the abnormality degree and the normality degree to the determination model, and thereby performs determination relating to an abnormality level of the input data, and an output unit (150) that outputs output information based on a result of the determination.

Abstract: A state of a display rack is evaluated accurately. An image processing device includes a detection unit configured to detect a change area related to a display rack from a captured image in which an image of the display rack is captured, a classification unit configured to classify a change related to the display rack in the change area, and an evaluation unit configured to evaluate a display state of goods, based on a classification result.

Abstract: A teaching data extending device includes: a relationship acquiring unit that obtains a relationship between a plurality of features included in each of a plurality of teaching data; a feature selecting unit that selects any one or more of the plurality of features based on the relationship; and a teaching data extending unit that generates, for one or more teaching data, new teaching data in which a value of the feature selected by the feature selecting unit is replaced with a value of the feature in another teaching data classified in a same class.

Abstract: An image processing device has: a change detecting unit configured to, based on a captured image in which an product to be monitored is shown, detect a change in display status of the product; and a display detecting unit configured to detect that the product is returned to a different place from a place where the product has been picked up based on the change in display status of the product detected by the change detecting unit and on a person included in the captured image.

Abstract: A control apparatus comprises a first operating state reception part that receives the operating state of an application as a first operating state from two or more terminals; a second operating state presuming part that presumes terminal priority and a second operating state to which the first operating state will transition for each of the terminals on the basis of the first operating state received by the first operating state reception part; an assumption determining part that specifies as a control target terminal a terminal to be controlled with the assumption that the operating state has changed before the operating state changes on the basis of the terminal priority and the second operating state; and an assumption control part that executes predetermined processing assuming that the operating state of the control target terminal has changed to the second operating state presumed by the second operating state presuming part before the operating state of the control target terminal changes.

Abstract: An apparatus of this invention is directed to an information processing apparatus that effectively counts, on a type basis, articles of a plurality of types displayed in a depth direction on a display shelf. The information processing apparatus includes a display count acquirer that acquires display count information of articles using article presence/absence sensors provided on the display shelf on which the articles are placed, an article identifier that acquires article identification information capable of identifying the types of articles based on an image acquired by capturing the display shelf, and a display recognizer that recognizes, based on the display count information and the article identification information, display count of each type of the articles.

Abstract: An image generation means 81 generates an image using a generator. A discrimination means 82 discriminates whether an object image includes a feature of a target image, using a discriminator. A first update means 83 updates the generator so as to minimize a first error representing a degree of divergence between a result of discriminating a generated image using the discriminator and a correct answer label associated with the generated image, the generated image being the image generated using the generator. A second update means 84 updates the discriminator so as to minimize a second error representing a degree of divergence between each of respective results of discriminating the generated image, a first actual image including the feature of the target image, and a second actual image not including the feature of the target image using the discriminator and a correct answer label associated with a corresponding image.

Abstract: An apparatus of this invention is directed to an information processing apparatus that effectively counts, on a type basis, articles of a plurality of types displayed in a depth direction on a display shelf. The information processing apparatus includes a display count acquirer that acquires display count information of articles using article presence/absence sensors provided on the display shelf on which the articles are placed, an article identifier that acquires article identification information capable of identifying the types of articles based on an image acquired by capturing the display shelf, and a display recognizer that recognizes, based on the display count information and the article identification information, display count of each type of the articles.

Abstract: A product analysis system 800 includes a detection means 810, a classification means 820, and a specification means 830. The detection means 810 detects an area of change in a product shelf from a video of the product shelf. The classification means 820 classifies the change in the product shelf in the detected area of change. The specification means 830 specifies the frequency at which a customer was interested in but did not purchase a product on the basis of the classification of the change.

Abstract: On the basis of a detected change in the display state of the product and of a person included in the captured image or a person whose in-store flow line has been detected, a rearrangement detection means 820 detects that a product has been returned to a different location than the location from which the product was taken. A shopping list generation means 830 uses shelving information on a product shelf to specify a product for which there has been detected a change in the display state that is a result of the person having picked up the product, performs a registration process for registering the specified product on a shopping list that corresponds to the person, and performs a deletion process for deleting the product, which has been returned to the different location than the location from which the product was taken, from the shopping list.

Abstract: A change detection means 840 detects an area of change in a product shelf on which a product has been arranged, on the basis of a captured image of the product. A classification means 850 classifies the change in the product shelf in the detected area of change. A shopping list generation means 860 generates a shopping list for a customer on the basis of the classification of the change in the product shelf and of shelving information on the product shelf.

Abstract: An image processing apparatus, an image processing method, and a program, provide accurate collation even when an image contains a number of identical or similar subjects. The image processing apparatus generates, with respect to feature points to be detected from a first image, a first local feature amount group including local feature amounts representing feature amounts of local regions containing the respective feature points, and a first coordinate position information group including coordinate position information. The image processing apparatus clusters the feature points of the first image based on the first coordinate position information group. The image processing apparatus collates, in units of clusters, the first local feature amount group with a second local feature amount group formed from local feature amounts of feature points detected from a second image.

Abstract: A vending machine recognition apparatus includes: a receiving unit configured to receive a captured image obtained by capturing an image of a vending machine; and a recognition unit configured to recognize merchandise from the captured image and recognize a price of the merchandise from a peripheral image region of an image region of the recognized merchandise.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: An image processing apparatus, an image processing method, and a program, provide accurate collation even when an image contains a number of identical or similar subjects. The image processing apparatus generates, with respect to feature points to be detected from a first image, a first local feature amount group including local feature amounts representing feature amounts of local regions containing the respective feature points, and a first coordinate position information group including coordinate position information. The image processing apparatus clusters the feature points of the first image based on the first coordinate position information group. The image processing apparatus collates, in units of clusters, the first local feature amount group with a second local feature amount group formed from local feature amounts of feature points detected from a second image.

Abstract: The present invention provides a function capable of detecting, with a higher degree of precision, a region that has a high probability of not having been recognized. An image processing apparatus according to the present invention is provided with: a recognition means for recognizing a product from a captured image obtained by capturing an image of a displayed product; and a detection means for detecting a region of a product that is included in the captured image but is not recognized by the recognition means, on the basis of furniture information related to furniture in which the product is displayed.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.