Abstract: An information processing apparatus includes: a determining unit that determines whether at least a part of an object is present in an image captured or not; and a control unit that performs a control so as to display, on a display apparatus, a guiding sign for guiding the object in the image to a predetermined direction in a case that at least a part of the object is present in the image.

Abstract: The present invention is a two-wheel vehicle riding person number determination system including an imaging means configured to image a two-wheel vehicle that is installed in a predetermined position and travels on a road, and a two-wheel vehicle riding person number determining means configured to process an image of the imaging means, extract a contour shape of an upper position of the two-wheel vehicle that travels on the road, detect humped shapes corresponding to heads of persons who ride on the two-wheel vehicle from the contour shape of the upper position of the two-wheel vehicle, and determine, on the basis of the humped shapes, whether or not the number of the persons who ride on the two-wheel vehicle is at least two persons or more.

Abstract: A POS terminal device capable of improving a recognition rate in a process for recognizing a commodity irrespective of the surrounding environment is provided. A POS terminal device (1) includes a brightness measurement unit (2), an irradiation unit (4), an image pickup unit (6), and a recognition process unit (8). The brightness measurement unit (2) measures the brightness of environmental light around the POS terminal device (1). The irradiation unit (4) irradiates a commodity with light, the light being adjusted according to the brightness of the environmental light measured by the brightness measurement unit (2). The image pickup unit (6) shoots the commodity irradiated with the light by the irradiation unit (4) and thereby generates an image thereof. The recognition process unit (8) performs a process for recognizing the commodity based on the image generated by the shooting performed by the image-pickup unit (6).

Abstract: An object detection apparatus, etc., capable of detecting an object area with greater precision is disclosed. Such an object detection apparatus is provided with: a part area indication means for indicating a part area which is an area including a target part among parts forming an object including an detection-target object, from a plurality of images including the object; an appearance probability distribution generation means for generating an appearance probability distribution and the absence probability distribution of the part area based on the appearance frequency of the part area associated with each position in the images; and an object determination means for determining, in an input image, the area including the object, with reference to the appearance probability distribution and the absence probability distribution of the part area.

Abstract: An image capture position and direction estimation device includes a region determination unit that determines a plurality of regions to be associated between a query image and an image with position and direction, a depth estimation unit that estimates a depth of each region, and an image capture position and direction estimation unit that estimates a direction in the region with a large depth estimated by the depth estimation unit and estimates a position in the region with a small depth estimated by the depth estimation unit.

Abstract: An image capture position and direction estimation device includes a region determination unit that determines a plurality of regions to be associated between a query image and an image with position and direction, a depth estimation unit that estimates a depth of each region, and an image capture position and direction estimation unit that estimates a direction in the region with a large depth estimated by the depth estimation unit and estimates a position in the region with a small depth estimated by the depth estimation unit.

Abstract: An object region extraction device according to an exemplary aspect of the invention includes: similar region calculation means 120 for calculating a region of high similarity to a feature extracted from an image; feature region likelihood calculation means 130 for calculating a likelihood of a feature region based on a position of the feature and the similar region; and object region extraction means 140 for extracting an object region based on the likelihood of the feature region. An object region extraction method according to another aspect of the invention includes: obtaining a feature from an image and extracting a position of the feature; calculating a region of high similarity to the feature extracted; calculating a likelihood of a feature region based on the similar region and the position of the feature; and extracting an object region based on the likelihood of the feature region.