Abstract: A behavior detection apparatus detects a position of a head from an image; based on the position of the head, detects a motion of bending forward when a person to be detected sits up in a width direction of a bed in a bed area of the image and stands up from the sitting state; when a movement of the head is detected to be forward bending, sets, based on a movement path of the head, a stand-up detection line for determining bed leaving of the person between a lowest point of the forward bending and the position of the head when the person stands by the bed, the stand-up detection line being set in a position not overlapping with a forward bending detection line by which the motion of bending forward is detected; and detects a stand-up motion when the head passes the set stand-up detection line.

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 storage medium storing a distance calculation program that causes a computer to execute operations, the operations includes; obtaining a first image captured by an image pickup device disposed on a vehicle; extracting a first feature point which satisfies an extraction condition used to determine a point on a road surface in the first image; and calculating a first distance from the first feature point to the image pickup device in a real space in accordance with data obtained by associating a position of the point in the first image and a first angle of the point viewed from a center of the image pickup device in the real space, and setting information including an angle of depression of the image pickup device and a distance between the image pickup device and the road surface.

Abstract: To provide a technology of determining a status of image information based on the image information of images captured by an image capturing device. A video processing method to process video information of an image capturing device mounted on a moving body, includes detecting an analysis target from video information of images captured by the image capturing device, determining a status of the video information on the basis of information on the analysis target and outputting a result of the determination.

Abstract: An image processing apparatus includes: a memory; and a processor coupled to the memory and configured to: acquire image data, and extract a corner point from the image data, based on brightness information of plurality of pixels in image data, the corner point corresponding to a pixel arranged in a first edge of a horizontal direction and a second edge of the vertical direction, when a number of pixels arranged in each of the first and second edges is more than certain value.

Abstract: An image selection device includes: an image acquiring unit which acquires a plurality of shot images acquired by continuously shooting a subject; an area segmentation unit which segments an image area of the shot image into a motion area indicating different positions by a specified amount or more between two shot images and a non-motion area other than the motion area based on the two consecutive shot images in time series in the plurality of shot images; and a selection unit which selects at least one shot image from the plurality of shot images based on an amount of blur of an image in the non-motion area.

Abstract: When a plurality of images are to be overlapped and synthesized, coincidence degrees between the plurality of images in an area near the boundary of a common area are calculated, and the plurality of images are overlapped and synthesized so that an area near the boundary having a high coincidence degree appears on the overlapped image. Thereby, it is possible to avoid the duplexing of the subject in the common area and unnatural ruptures on the boundary made by the overlapping while reducing the number of processes for the synthesizing.

Abstract: A notification control method executed by a computer, the notification control method includes: acquiring image data of a displayable image captured by an imaging device, and controlling a notification concerning detection of an object based on output of a sensor, depending on a determination of visibility for the displayable image based on the image data.

Abstract: A device for detecting a movement of an object includes: an image shooting unit to generate a first image and a second image by continuous shooting; a detection unit to detect a movement region based on a difference between the first and second images; an edge detection unit to detect an edge region in the first image; a deletion unit to delete the edge region from the movement region; and a decision unit to determine a degree of object movement in accordance with the movement region in which a part of the movement region being deleted by the deletion unit.

Abstract: An image recognition part of an image recognition apparatus recognizes an object based on a target area in an outside-vehicle image obtained by a camera installed in a vehicle. A position identifying part identifies an optical axis position of the camera relative to the vehicle based on the outside-vehicle image, and an area changing part changes a position of the target area in the outside-vehicle image according to the optical axis position of the camera. Therefore, it is possible to recognize an object properly based on the target area in the outside-vehicle image even though the optical axis position of the camera is displaced.

Abstract: The image merge device includes a common area determination unit configured to determine a common area between a first image and a second image; a correlation calculation unit configured to calculate a correlation level indicating a degree of a gap between the first image near a boundary of the first image and the second image and the second image near the boundary when the first image and the second image are aligned using the common area; and a superimposed area determination unit configured to determine a superimposed area in which the first and second images are superimposed near the boundary based on the correlation level calculated by the correlation calculation unit.

Abstract: An on-vehicle device mounted on a vehicle includes an imaging unit that captures an image of a wide angle range through a curved light receiver, a moving-object detector that detects a moving object approaching an own vehicle from a mounting direction of the imaging unit and from any direction other than the mounting direction, based on the image captured by the imaging unit, a collision-risk determination unit that determines a degree of collision risk indicating a possibility of collision between the moving object detected by the moving-object detector and the own vehicle, and a moving-object warning unit that warns presence of the moving object included in an image portion in which a distortion of the image is a predetermined value or more, and warns the presence of the moving object according to the degree of collision risk determined by the collision-risk determination unit.

Abstract: An image processing apparatus includes a face detection processing unit that reduces an image of a frame to be processed to a first level among several reduction levels to generate a reduced image of the frame to be processed, with one of frames included in a moving image as the frame to be processed, and compares the reduced image generated by the reducing unit and the learning data to extract a face image from the reduced image. When the extraction of the face image from the frame to be processed is ended, the face detection processing unit updates the frame to be processed to a next frame subsequent to the frame to be processed and generates a reduced image that is reduced to another level other than reduction levels adjoining the first level.

Abstract: In a device for combining a plurality of images having a same photograph range, a position shift between the images having the same photograph range is detected, and the position shift of the images is corrected, and after the position shift is corrected, similarity of the respective portions between the images is evaluated, and the image combining method is changed according to the similarity evaluation. Therefore it is possible to create an image having no position shift due to the shaking of a camera and object blurring due to the movement of the object. Moreover, whether the images are combined or not is determined according to the similarity, hence the processing load is reduced and an image having no object blurring can be created.

Abstract: A parameter for determining a chrominance correction curve for use in correcting the chrominance component of each pixel is determined from one or more parameters for determining a luminance correction curve for use in correcting luminance applied to the entirety of one frame of motion picture data. The chrominance component of each pixel is corrected using the chrominance correction curve.

Abstract: Adaptive image processing device performs image processing with a simple configuration on a composite image including areas having different characteristics by changing a process depending on the number of combined images in each area of the composite image configured by combining a plurality of images. The image processing device acquires a plurality of images and generates a composite image. When the composite image is generated, the image processing device realizes a process of determining the number of combined images for detecting the number of images to be combined for each area of the composite image and holding the number as information about the number of combined images, and an image processing parameter switching process for switching a parameter of image processing to be performed on each area of the composite image according to the information about the number of combined images.

Abstract: An image selection device includes: an image acquiring unit which acquires a plurality of shot images acquired by continuously shooting a subject; an area segmentation unit which segments an image area of the shot image into a motion area indicating different positions by a specified amount or more between two shot images and a non-motion area other than the motion area based on the two consecutive shot images in time series in the plurality of shot images; and a selection unit which selects at least one shot image from the plurality of shot images based on an amount of blur of an image in the non-motion area.

Abstract: A storage medium storing a distance calculation program that causes a computer to execute operations, the operations includes; obtaining a first image captured by an image pickup device disposed on a vehicle; extracting a first feature point which satisfies an extraction condition used to determine a point on a road surface in the first image; and calculating a first distance from the first feature point to the image pickup device in a real space in accordance with data obtained by associating a position of the point in the first image and a first angle of the point viewed from a center of the image pickup device in the real space, and setting information including an angle of depression of the image pickup device and a distance between the image pickup device and the road surface.

Abstract: To provide a technology of determining a status of image information based on the image information of images captured by an image capturing device. A video processing method to process video information of an image capturing device mounted on a moving body, includes detecting an analysis target from video information of images captured by the image capturing device, determining a status of the video information on the basis of information on the analysis target and outputting a result of the determination.

Abstract: A parameter memory of an object detection apparatus retains a plurality of parameters used for a detection process for each of a plurality of detection conditions. A parameter selector selects a parameter from amongst the parameters retained in the parameter memory, according to an existing detection condition. Then an object detector performs the detection process of detecting an object approaching a vehicle, based on a captured image captured by a camera out of a plurality of cameras disposed at different locations of the vehicle, by using the parameter selected by the parameter selector.