Abstract: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.

Abstract: This invention provides a flying body that can more reliably be made to fly at a desired position. The flying body includes an image capturer that captures a periphery of the flying body. The flying body also includes a recorder that records an image captured before the flying body starts a flight. The flying body further includes a flight controller that makes the flying body fly to a designated position using the image recorded in the recorder and an image captured using the image capturer during the flight.

Abstract: To provide a POS terminal or the like which enables adjustment of white balance of an object to be sufficiently accurate even in the change of external light illuminating the object. The POS terminal includes: an image capture unit which captures an object including a plurality of respectively different reference colors and generates an image; a comparison unit which compares a portion of the image relating to each of the reference colors with a standard image which is a standard of the reference colors; and an adjustment unit which adjusts white balance based on a result of the comparison.

Abstract: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.

Abstract: To accurately detect theft of a product. An information processing apparatus (2000) acquires a reference image (13) in which a product exhibition location is imaged. In addition, the information processing apparatus (2000) acquires a comparison image (14), in which a product shelf is imaged at a time after the reference image (13) is imaged. Furthermore, the information processing apparatus (2000) computes the quantity of reduction in products inside a surveillance area (15) included in both the reference image (13) and the comparison image (14). Furthermore, the information processing apparatus (2000) outputs the warning in a case where the computed quantity of reduction is equal to or larger than the reference value.

Abstract: A technology is provided which is capable of surveilling a dishonest action and which is easily introduced. A first camera (10), a second camera (20), and a third camera (30) respectively generate a first captured image (11), a second captured image (21), and a third captured image (31). An exit (50) is imaged in the first captured image (11). An exhibition location (60) is imaged in the second captured image (21). A payment area (70) is imaged in the third captured image (31). An information processing apparatus (2000) detects a person from the first captured image (11), and determines whether or not the detected person is included in the second captured image (21). In a case where it is determined that the person who is detected from the first captured image (11) is included in the second captured image (21) and a degree of doubtfulness of the person is high, the information processing apparatus (2000) determines whether or not the person is included in the third captured image (31).

Abstract: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.

Abstract: In order to fly a flying body more safely using a flight route according to a fall enable area, there is provided an image processing apparatus including a detector that detects a fall enable area on the ground surface based on a flying body video obtained when a flying body captures a ground area spreading below while moving. The image processing apparatus further includes a falling range estimator that estimates a falling range on the ground surface in case of a fall, and a decision unit that decides a flight route of the flying body such that the falling range is covered by the detected fall enable area.

Abstract: Concerning a partial area image that constitutes a wide area image, to measure an elapsed time from a past point of time of image capturing and control a flying body in accordance with the elapsed time, an information processing apparatus includes a wide area image generator that extracts, from a flying body video obtained when a flying body captures a ground area spreading below while moving, a plurality of video frame images and combines the video frame images, thereby generating a captured image in a wide area, an elapsed time measurer that measures an elapsed time from an image capturing time by the flying body for each of the plurality of video frame images, and an output unit that outputs the elapsed time for each video frame image together with position information of the flying body at the time of capturing of the video frame 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: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.

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: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.

Abstract: A POS-terminal device includes: a housing that is provided with a product-reading device including an imaging unit configured to capture a product to generate an image; a product-input unit configured to input the product, the product-input unit including a product-reading frame configured to define an outer edge of an imaging area of the imaging unit; and a reflector configured to reflect a subject image of the product passed over the imaging area, outside the housing.

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: A POS terminal device is provided with: a memory unit for storing subject information in which a subject and specific information are associated; an imaging unit for imaging a subject and generating an image; and a specific information estimation unit for estimating, on the basis of the subject information, the specific information associated with the subject imaged by the imaging unit.

Abstract: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.

Abstract: When the presence of a subject is detected within the image-capturing range of an image sensor, a frame image is created to acquire the identifier of a corresponding product. A feature quantity of the frame image is stored in a storage device in connection with the acquired identifier, and product information associated with the identifier is acquired from a product information DB to perform sales processing.

Abstract: A POS-terminal device includes: a housing that is provided with a product-reading device including an imaging unit configured to capture a product to generate an image; a product-input unit configured to input the product, the product-input unit including a product-reading frame configured to define an outer edge of an imaging area of the imaging unit; and a reflector configured to reflect a subject image of the product passed over the imaging area, outside the housing.

Abstract: To provide a POS terminal or the like which enables adjustment of white balance of an object to be sufficiently accurate even in the change of external light illuminating the object. The POS terminal includes: an image capture unit which captures an object including a plurality of respectively different reference colors and generates an image; a comparison unit which compares a portion of the image relating to each of the reference colors with a standard image which is a standard of the reference colors; and an adjustment unit which adjusts white balance based on a result of the comparison.