Abstract: The object characteristic determining device according to this application includes: an object position-information acquisition unit to acquire position information of an object on a road; a stop time calculation unit to calculate a stop time during which the object continues to stop, on the basis of the position information of the object acquired by the object position-information acquisition unit; an object characteristic determination unit to determine that a characteristic of the object is dynamic when the stop time calculated by the stop time calculation unit is less than a predetermined determination time, and determine that the characteristic of the object is semi-dynamic, meaning that its mobility is less than the mobility of the object that is dynamic, when the stop time is not less than the determination time; and an output unit to output a determination result determined by the object characteristic determination unit.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: A reference line detection unit 12 extracts an edge from a distorted image taken by a fisheye camera to thereby determine a curved reference line. A distortion parameter calculation unit 13 calculates a distortion parameter such that the reference line is made linear. A distortion correction unit 14 corrects distortion of the distorted image by a distortion correction equation by using the distortion parameter.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: Position information of a vehicle 100 and feature amounts of driving operations by a driver are acquired as triggered by occurrence of switching from an automatic driving mode to a manual driving mode, and a driving operation to be corrected in the automatic driving mode and a correction amount thereof, are determined from these feature amounts. A driving operation in the automatic driving mode is corrected using the determination result, so that the vehicle 100 is controlled in the automatic driving mode in which the corrected driving operation is included.

Abstract: It is determined whether a driver is gazing at a gaze target object in the eye gaze direction, and the eye gaze of the driver is guided by changing a display mode of the gaze target object determined to be gazed at by the driver. Calibration of eye gaze direction detection information is accurately and promptly executed.

Abstract: Position information of a vehicle 100 and feature amounts of driving operations by a driver are acquired as triggered by occurrence of switching from an automatic driving mode to a manual driving mode, and a driving operation to be corrected in the automatic driving mode and a correction amount thereof, are determined from these feature amounts. A driving operation in the automatic driving mode is corrected using the determination result, so that the vehicle 100 is controlled in the automatic driving mode in which the corrected driving operation is included.

Abstract: It is determined whether a driver is gazing at a gaze target object in the eye gaze direction, and the eye gaze of the driver is guided by changing a display mode of the gaze target object determined to be gazed at by the driver. Calibration of eye gaze direction detection information is accurately and promptly executed.

Abstract: A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

Abstract: A reference line detection unit 12 extracts an edge from a distorted image taken by a fisheye camera to thereby determine a curved reference line. A distortion parameter calculation unit 13 calculates a distortion parameter such that the reference line is made linear. A distortion correction unit 14 corrects distortion of the distorted image by a distortion correction equation by using the distortion parameter.

Abstract: Setting information is converted into a plurality of image patterns (22), and the plurality of image patterns (22) are displayed in time sequence according to a predetermined sequence. A camera device reproduces the setting information from image information (3) which the camera device acquires by capturing the displayed description to set the setting information thereto.

Abstract: An object processing unit divides each image frame of received image data into block areas, extracts an object from each image frame, and extracts, as metadata, the features of this object for each block area. A real-time detection processing unit compares the metadata extracted for each block area with a received real-time detection query, and detects an object which satisfies the real-time detection query. A post-retrieval processing unit compares the metadata for each block area stored in a metadata storage unit with a received post-retrieval query, and retrieves an object which satisfies the post-retrieval query.

Abstract: A link table (28) showing a link relation between video data which are time reference data and log data which are number reference data is disposed. When the video data are deleted from a video recording ring buffer (23) or when the log data are deleted from a log recording ring buffer (26), a link data management unit (27) instructs either a number reference data recording and deleting unit (25) or a time reference data recording and deleting unit (22) to also delete the data which are the link destination of the deleted data with reference to the link table (28). Simultaneously, the link data management unit (27) deletes the link relation from the link table (28).

Abstract: An object processing unit divides each image frame of received image data into block areas, extracts an object from each image frame, and extracts, as metadata, the features of this object for each block area. A real-time detection processing unit compares the metadata extracted for each block area with a received real-time detection query, and detects an object which satisfies the real-time detection query. A post-retrieval processing unit compares the metadata for each block area stored in a metadata storage unit with a received post-retrieval query, and retrieves an object which satisfies the post-retrieval query.

Abstract: In a conventional image monitoring system problems have been that images are very unclear and it is sometimes difficult to monitor them, because images to be monitored are displayed intact to a monitoring operator, even if monitoring-unnecessary-moving objects, such as rainfall or snow, are photographed in the monitoring images. In an image processing apparatus 1, easy-to-monitor images, in which monitoring-unnecessary-moving objects, such as rainfall or snow, have been eliminated, can be displayed to the monitoring operator, because a monitoring-unnecessary-moving-object-eliminating unit 3 processes each of pixel values of consecutive images that have been continuously photographed and stored in image storing units 2, and outputs the images in which the monitoring-unnecessary-moving objects appearing in the consecutive images have been eliminated.