Abstract: An attached object detection apparatus includes: an extractor that extracts, based on edges detected from pixels of a captured image captured by an image capturing apparatus, a candidate region for an attached object region corresponding to an attached object on the image capturing apparatus; and a determiner that determines, based on a fluctuation of luminance distribution of pixels within the candidate region extracted by the extractor, whether or not the candidate region is the attached object region.

Abstract: An attached object detection apparatus includes a memory and a controller coupled to the memory. The controller is configured to: extract one or more candidate regions from a captured image captured by an image capturing apparatus, each of the one or more candidate regions being a candidate for being an attached object region corresponding to a portion of the image in which an attached object is attached to the image capturing apparatus, the one or more candidate regions being extracted based on edges detected from pixels of the image; select, as one or more selection regions, one or more of the candidate regions satisfying predetermined selection conditions, from amongst the extracted one or more candidate regions; and determine, based on fluctuation of luminance distribution of pixels in the selected one or more selection regions, whether or not each of the one or more selection regions is the attached object region.

Abstract: An attachable matter detection apparatus includes a controller configured to function as an extractor and a detector. The extractor extracts edge information of each pixel contained in a photographic image photographed by an imaging device. The detector detects a candidate area estimated to have a water droplet out of the photographic image based on a matching result between (i) each of the pixels converted into a predetermined data format based on the edge information extracted by the extractor and (ii) a template representing a water droplet and having the data format. The detector calculates a matching frequency with the template for a predetermined area along a contour of the candidate area, and excludes the candidate area when the candidate area satisfies a predetermined exclusion condition based on the matching frequency.

Abstract: An abnormality detection device includes: an estimator which estimates the amount of movement of a mobile body based on an image taken by a camera mounted on the mobile body; and a determiner which determines an abnormality in the camera by obtaining estimated information on the amount of movement of the mobile body as obtained in the estimator and actually observed information on the movement of the mobile body as detected by an external sensor, other than the camera, mounted on the mobile body.

Abstract: An image processing device according to an aspect of the embodiment includes an image generating unit that generates an image at a virtual viewpoint based on a captured image of an image capturing unit, and an image processing unit that generates an image in which an image for synthesis is displayed on the image at the virtual viewpoint. The image processing unit performs a process for decreasing visibility of the image for synthesis when the image at the virtual viewpoint is an image at a viewpoint location of the virtual viewpoint while the viewpoint location is moving.

Abstract: An image processing apparatus includes a detector, an estimator and a determiner. The detector detects a candidate region of a captured image captured by a camera, the candidate region serving as a candidate for a water drop region affected by a water drop on the lens of the camera, based on an edge strength of each pixel in the captured image. The estimator estimates, based on the candidate region, a circle that includes the candidate region. The determiner determines whether or not the candidate region is part of the water drop region based on the edge strength of some of the pixels in the circle.

Abstract: An abnormality detection apparatus for detecting an abnormality of a camera to be mounted on a mobile body includes a processor and associated memory configured to perform a determination process of determining a presence or absence of the abnormality of the camera based on a temporal change of a position of a feature point that is extracted from a frame image photographed by the camera and suppress a gain change in an Automatic Gain Control (“AGC”) circuit of the camera when the determination process is performed.

Abstract: An apparatus for calculating an estimation value of movement information of a mobile body based on information from a camera mounted on the mobile body. The apparatus includes an extractor that extracts feature points from frame images input from the camera, a calculator that calculates an optical flow indicating movements of the feature points between a current frame image and a previous frame image, and an estimator that calculates the estimation value based on the optical flow. The estimator switches a calculation method of the estimation value based on at least one of (i) a speed of the mobile body, (ii) a number of the feature points extracted by the extractor, and (iii) feature amounts indicating uniqueness of the feature points.

Abstract: A movement information estimation device estimates movement information on a mobile body based on information from a camera mounted on the mobile body. The movement information estimation device includes a feature point extractor configured to extract a feature point from a predetermined region in an image taken by the camera, and a movement information estimator configured to estimate movement information on the mobile body based on the feature point.

Abstract: A movement information estimation device which estimates movement information on a mobile body based on information from a camera mounted on the mobile body includes a flow deriver configured to derive an optical flow for each feature point based on an image taken by the camera and a movement information estimator configured to estimate movement information on the mobile body based on optical flows derived by the flow deriver. The movement information estimator is configured to estimate movement information on the mobile body after exclusion processing for excluding an optical flow arising from a shadow of the mobile body.

Abstract: A video processing device generates a display video signal to be supplied to a liquid crystal display unit that is driven by a frame inversion scheme. The video processing device includes a controller and a video signal processor. The controller controls a vertical synchronizing signal included in an interlace video signal input from outside the video processing device so that a display invalid section having a predetermined number of fields is set for the interlace video signal at a predetermined period. The video signal processor i) generates the display video signal based on the interlace video signal in which the display invalid section has been set by control of the vertical synchronizing signal and ii) outputs the display video signal to the liquid crystal display unit.

Abstract: An abnormality detection device includes: an estimator which estimates the amount of movement of a mobile body based on an image taken by a camera mounted on the mobile body; and a determiner which determines an abnormality in the camera by obtaining estimated information on the amount of movement of the mobile body as obtained in the estimator and actually observed information on the movement of the mobile body as detected by an external sensor, other than the camera, mounted on the mobile body.

Abstract: An image processing device according to an aspect of the embodiment includes an image generating unit that generates an image at a virtual viewpoint based on a captured image of an image capturing unit, and an image processing unit that generates an image in which an image for synthesis is displayed on the image at the virtual viewpoint. The image processing unit performs a process for decreasing visibility of the image for synthesis when the image at the virtual viewpoint is an image at a viewpoint location of the virtual viewpoint while the viewpoint location is moving.

Abstract: A water-droplet detecting apparatus according to an embodiment includes a setting unit, a first extraction unit, a second extraction unit, and a determination unit. The setting unit sets concentric circles having a center at arbitrary one point of a captured image of an image capturing unit. The first extraction unit extracts candidate pixels based on gradients of pixels on a circumference of each of the concentric circles. The candidate pixels are candidates for pixels that are estimated to indicate a water droplet adhered to the image capturing unit. The second extraction unit extracts one or more candidate circles based on the candidate pixels extracted by the first extraction unit. The one or more candidate circles are candidates for circles that indicate a shape of the water droplet. The determination unit determines whether or not the water droplet is adhered based on an extraction result of the second extraction unit.

Abstract: An image processing device according to an aspect of the embodiment includes an image generating unit that generates an image at a virtual viewpoint based on a captured image of an image capturing unit, and an image processing unit that generates an image in which an image for synthesis is displayed on the image at the virtual viewpoint. The image processing unit performs a process for decreasing visibility of the image for synthesis when the image at the virtual viewpoint is an image at a viewpoint location of the virtual viewpoint while the viewpoint location is moving.

Abstract: An image processing device according to an aspect of the embodiment includes an image generating unit that generates an image at a virtual viewpoint based on a captured image of an image capturing unit, and an image processing unit that generates an image in which an image for synthesis is displayed on the image at the virtual viewpoint. The image processing unit performs a process for decreasing visibility of the image for synthesis when the image at the virtual viewpoint is an image at a viewpoint location of the virtual viewpoint while the viewpoint location is moving.

Abstract: There is provided a foreign substance removal control device including: an image recognizer having a processor and that detects foreign substance stuck on a lens of a camera based on an image captured by the camera; an injector that injects air or liquid to the lens of the camera; an output portion that outputs information to a user; and a controller that controls a foreign substance removal process for removing the foreign substance from the lens of the camera by causing the injector to inject the air or the liquid if the image recognizer detects the foreign substance stuck on the lens of the camera, in which the controller causes the output portion to output information which indicates that the foreign substance is stuck on the lens of the camera if the image recognizer detects the foreign substance stuck on the lens of the camera after the foreign substance removal process has been performed.

Abstract: A video processing device generates a display video signal to be supplied to a liquid crystal display unit that is driven by a frame inversion scheme. The video processing device includes a controller and a video signal processor. The controller controls a vertical synchronizing signal included in an interlace video signal input from outside the video processing device so that a display invalid section having a predetermined number of fields is set for the interlace video signal at a predetermined period. The video signal processor i) generates the display video signal based on the interlace video signal in which the display invalid section has been set by control of the vertical synchronizing signal and ii) outputs the display video signal to the liquid crystal display unit.

Abstract: A water-droplet detecting apparatus according to an embodiment includes a setting unit, a first extraction unit, a second extraction unit, and a determination unit. The setting unit sets concentric circles having a center at arbitrary one point of a captured image of an image capturing unit. The first extraction unit extracts candidate pixels based on gradients of pixels on a circumference of each of the concentric circles. The candidate pixels are candidates for pixels that are estimated to indicate a water droplet adhered to the image capturing unit. The second extraction unit extracts one or more candidate circles based on the candidate pixels extracted by the first extraction unit. The one or more candidate circles are candidates for circles that indicate a shape of the water droplet. The determination unit determines whether or not the water droplet is adhered based on an extraction result of the second extraction unit.

Abstract: An image processing apparatus includes a detector, an estimator and a determiner. The detector detects a candidate region of a captured image captured by a camera, the candidate region serving as a candidate for a water drop region affected by a water drop on the lens of the camera, based on an edge strength of each pixel in the captured image. The estimator estimates, based on the candidate region, a circle that includes the candidate region. The determiner determines whether or not the candidate region is part of the water drop region based on the edge strength of some of the pixels in the circle.