Abstract: An image processing device includes: a calculation unit which calculates chroma values of pixels of image data taken by a shooting device based on differences between R values or G values and B values, respectively; a correction unit which corrects luminance values of pixels that satisfy a prescribed condition for being a yellow pixel using the calculated chroma values as emphasis amounts, respectively; and a detection unit which detects a line drawn on a road surface based on the corrected luminance values.

Abstract: An information processing device includes: a memory; and a processor coupled to the memory and configured to: acquire a first image at a first time and a second image at a second time later than the first time from a monocular camera mounted on a vehicle; calculate an amount of movement of the vehicle, based on a sensor value acquired during a measurement period between the first time and the second time; output a result of distance measurement using a first distance measurement method to perform distance measurement using the first image or the second image, or a second distance measurement method to perform distance measurement using the first image and the second image, depending on the amount of movement; and output a result of calculation of a route to guide the vehicle to a parking space, based on the result of distance measurement.

Abstract: A distance measurement device includes a memory, and a processor coupled to the memory and configured to detect a plurality of edge lines from image data received from a camera mounted on a moving object, identify a plurality of first edge lines that are among the detected plurality of edge lines and have a characteristic of a predetermined target object, search coordinates of a second edge line located at the lowest position from among the identified plurality of first edge lines, and measure a distance from the moving object to the predetermined target object based on the searched coordinates of the second edge line and a parameter of the camera.

Abstract: A bed area extraction method includes specifying, by a computer, a first part of a bed candidate area in an image based on a first line segment extracted from the image; setting a search range for searching a second line segment with reference to the bed candidate area which is determined based on the specified first part of the bed candidate area; and correcting the bed candidate area based on a disposition of the second line segment included in the set search range.

Abstract: A P-type well is defined by an isolation region formed in a semiconductor substrate. A pixel region and a ground region are defined in the P-type well. In the pixel region, a pixel transistor region and a photodiode region having a photodiode formed therein are defined. An antireflection film is formed so as to cover at least the photodiode region and the ground region. A plug connected to the ground region is formed so as to extend through the antireflection film and the like.

Abstract: A distance measurement device includes a memory, and a processor coupled to the memory and configured to detect a plurality of edge lines from image data received from a camera mounted on a moving object, identify a plurality of first edge lines that are among the detected plurality of edge lines and have a characteristic of a predetermined target object, search coordinates of a second edge line located at the lowest position from among the identified plurality of first edge lines, and measure a distance from the moving object to the predetermined target object based on the searched coordinates of the second edge line and a parameter of the camera.

Abstract: A computer determines a type of change in a state of a bed on the basis of a correspondence relationship between a boundary that indicates a first bed area in a first image and a line segment represented by an edge detected from a second image. The second image is an image that is captured after the first image is captured, and the change in the state of the bed is a state change that occurs during a time period from the capturing of the first image to the capturing of the second image.

Abstract: A situation identification method includes acquiring a plurality of images; identifying, for each of the plurality of images, a first area including a bed area where a place to sleep appears in an image, and a second area where an area in a predetermined range around the place to sleep appears in the image; detecting a state of a subject to be monitored for each of the plurality of images based on a result of detection of a head area indicating an area of a head of the subject in the first area and a result of detection of a living object in the second area; when the state of the subject changes from a first state to a second state, identifying a situation of the subject based on a combination of the first state and the second state; and outputting information that indicates the identified situation.

Abstract: A method of extracting a bed area of a bed performed by a computer, includes detecting linear edges which remain stationary among plural images; and selecting a bed area candidate based on lengths of the linear edges and angles between the linear edges which cross to each other in a U shape formed as combinations of the detected linear edges.

Abstract: A bed area extraction method includes specifying, by a computer, a first part of a bed candidate area in an image based on a first line segment extracted from the image; setting a search range for searching a second line segment with reference to the bed candidate area which is determined based on the specified first part of the bed candidate area; and correcting the bed candidate area based on a disposition of the second line segment included in the set search range.

Abstract: A P-type well is defined by an isolation region formed in a semiconductor substrate. A pixel region and a ground region are defined in the P-type well. In the pixel region, a pixel transistor region and a photodiode region having a photodiode formed therein are defined. An antireflection film is formed so as to cover at least the photodiode region and the ground region. A plug connected to the ground region is formed so as to extend through the antireflection film and the like.

Abstract: A computer determines a type of change in a state of a bed on the basis of a correspondence relationship between a boundary that indicates a first bed area in a first image and a line segment represented by an edge detected from a second image. The second image is an image that is captured after the first image is captured, and the change in the state of the bed is a state change that occurs during a time period from the capturing of the first image to the capturing of the second image.

Abstract: A P-type well is defined by an isolation region formed in a semiconductor substrate. A pixel region and a ground region are defined in the P-type well. In the pixel region, a pixel transistor region and a photodiode region having a photodiode formed therein are defined. An antireflection film is formed so as to cover at least the photodiode region and the ground region. A plug connected to the ground region is formed so as to extend through the antireflection film and the like.

Abstract: A P-type well is defined by an isolation region formed in a semiconductor substrate. A pixel region and a ground region are defined in the P-type well. In the pixel region, a pixel transistor region and a photodiode region having a photodiode formed therein are defined. An antireflection film is formed so as to cover at least the photodiode region and the ground region. A plug connected to the ground region is formed so as to extend through the antireflection film and the like.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions that cause the processor to execute, capturing an image including vehicle side information, dividing the image into a plurality of areas, and defining a first divided area image including a center of a side end of the image and a second divided area image not including the center of the side end of the image; smoothing the first divided area image using a first filter, or smoothing the second divided area image using a second filter having a greater coefficient than that of the first filter; extracting a plurality of feature points from the first divided area image or the second divided area image; calculating an optical flow from the plurality of feature points of the first divided area image or the second divided area image.

Abstract: A method of extracting a bed area of a bed performed by a computer, includes detecting linear edges which remain stationary among plural images; and selecting a bed area candidate based on lengths of the linear edges and angles between the linear edges which cross to each other in a U shape formed as combinations of the detected linear edges.

Abstract: An image processing device includes a processor, and a memory which stores an instruction, which when executed by the processor, causes the processor to execute an operation including obtaining an image including information on a traveling direction of a vehicle and information of side regions of the image relative to the traveling direction. The operation includes reducing a size of an arbitrary region of the image nonlinearly toward a center of the image from side ends of one of the regions of the image, extracting feature points from the arbitrary region, calculating traveling amounts of the feature points included in a plurality of arbitrary regions which are obtained at different timings and determining an approaching object which approaches the vehicle in accordance with the traveling amounts of the feature points.

Abstract: An image processing device includes a processor, and a memory which stores an instruction, which when executed by the processor, causes the processor to execute an operation including obtaining an image including information on a traveling direction of a vehicle and information of side regions of the image relative to the traveling direction. The operation includes reducing a size of an arbitrary region of the image nonlinearly toward a center of the image from side ends of one of the regions of the image, extracting feature points from the arbitrary region, calculating traveling amounts of the feature points included in a plurality of arbitrary regions which are obtained at different timings and determining an approaching object which approaches the vehicle in accordance with the traveling amounts of the feature points.

Abstract: An approaching object detection device that detects moving objects approaching a vehicle on the basis of images generated by an image pickup unit that captures images of surroundings of the vehicle at certain time intervals, the approaching object detection device includes: a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, detecting moving object regions that each include a moving object from an image; obtaining a moving direction of each of the moving object regions; and determining whether or not the moving object included in each of the moving object regions is a moving object approaching the vehicle on the basis of at least either an angle between the moving direction of each of the moving object regions in the image and a horizon in the image or a ratio of an area of a subregion.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions that cause the processor to execute, capturing an image including vehicle side information, dividing the image into a plurality of areas, and defining a first divided area image including a center of a side end of the image and a second divided area image not including the center of the side end of the image; smoothing the first divided area image using a first filter, or smoothing the second divided area image using a second filter having a greater coefficient than that of the first filter; extracting a plurality of feature points from the first divided area image or the second divided area image; calculating an optical flow from the plurality of feature points of the first divided area image or the second divided area image.