Abstract: An event vehicle dispatch device includes: an event notifier configured to notify a plurality of vehicles or owners of the vehicles of an event held in an area in which the plurality of vehicles are able to park; and an adjuster configured to adjust the number of vehicles corresponding to vehicle attributes of vehicles arriving at the area based on the vehicle attribute of each of the plurality of vehicles.

Abstract: An information-processing device of the present invention includes an acquisition unit that acquires sensor detection information indicating a detection result from a sensor mounted in a vehicle, a derivation unit that derives a plurality of indices for a surrounding environment based on the sensor detection information acquired by the acquisition unit, and an evaluation unit that evaluates attribute information of a point at which the sensor detection information is acquired based on the plurality of indices derived by the derivation unit.

Abstract: An aspect of the present invention is a pick-up/drop-off management device (400) including a vehicle allocation reserver (432) configured to create a pick-up/drop-off schedule on the basis of content of a reservation for a facility and reserve a vehicle, and a vehicle allocation manager (433) configured to allocate the vehicle reserved by the vehicle allocation reserver according to the pick-up/drop-off schedule.

Abstract: A method, an apparatus and an electronic device for processing a panoramic image are provided. The method includes converting a first planar projection image of the panoramic image into a spherical image; determining a position of a region of interest in the spherical image; and cutting and expanding the spherical image based on the position of the region of interest in the spherical image, and obtaining a second planar projection image of the panoramic image. A distance between the region of interest in the second planar projection image and a center point of the second planar projection image is shorter than a distance between the region of interest in the first planar projection image and a center point of the first planar projection image.

Abstract: A baicalin magnesium compound and methods for preparing and extracting the same. The method for preparing the baicalin magnesium compound includes steps of preparation of a baicalin suspension, preparation of a magnesium ion-containing suspension, reaction and drying. The method for extracting the baicalin magnesium compound includes steps of pretreatment of macroporous resin, extraction, adsorption and elution, concentration and drying and purification. The methods restores the baicalin to the original form as found in radix scutellariae, and the baicalin magnesium compound may be used as a substitute for the baicalin in pharmaceutical applications. As compared to the baicalin, the baicalin magnesium has a greatly increased solubility, faster adsorption rate and higher oral bioavailability. The baicalin magnesium compound may also be easily formulated as a water-soluble injection or a powder injection.

Abstract: A baicalin magnesium compound and methods for preparing and extracting the same. The method for preparing the baicalin magnesium compound includes steps of preparation of a baicalin suspension, preparation of a magnesium ion-containing suspension, reaction and drying. The method for extracting the baicalin magnesium compound includes steps of pretreatment of macroporous resin, extraction, adsorption and elution, concentration and drying and purification. The methods restores the baicalin to the original form as found in radix scutellariae, and the baicalin magnesium compound may be used as a substitute for the baicalin in pharmaceutical applications. As compared to the baicalin, the baicalin magnesium has a greatly increased solubility, faster adsorption rate and higher oral bioavailability. The baicalin magnesium compound may also be easily formulated as a water-soluble injection or a powder injection.

Abstract: An image processing method in accordance with this disclosure includes steps of obtaining an object image including an operating body, extracting the operating body from the object image, and calculating an orientation of the operating body in the object image. The method further includes determining whether the operating body is of an operator that operates an apparatus based on the orientation of the operation body.

Abstract: A method, an apparatus and an electronic device for processing a panoramic image are provided. The method includes converting a first planar projection image of the panoramic image into a spherical image; determining a position of a region of interest in the spherical image; and cutting and expanding the spherical image based on the position of the region of interest in the spherical image, and obtaining a second planar projection image of the panoramic image. A distance between the region of interest in the second planar projection image and a center point of the second planar projection image is shorter than a distance between the region of interest in the first planar projection image and a center point of the first planar projection image.

Abstract: A method and an apparatus for separating a foreground image are disclosed. The method includes obtaining an input image, and color information and depth information of the input image; roughly dividing, based on the depth information of the input image, the input image to obtain an initial three-color image; reducing or expanding, based on the color information of the input image, an unknown region in the initial three-color image to obtain an optimized three-color image; and separating the foreground image from the optimized three-color image. According to the method, the initial three-color image can be optimized based on the color information of the input image, so that a more accurate three-color image can be obtained; thus the foreground image can be accurately separated from the three-color image.

Abstract: A method and an apparatus for separating a foreground image are disclosed. The method includes obtaining an input image and depth information of the input image; roughly dividing the input image to obtain a rough foreground region based on the depth information of the input image; obtaining motion information of the input image, and generating a three-color image from the rough foreground region based on the motion information; and separating the foreground image from the generated three-color image. According to the method, the three-color image is generated based on the depth information and the motion information, thus a foreground object can be accurately separated from the three-color image.

Abstract: An image processing method, device and non-transitory computer-readable recording medium are disclosed. The image processing method includes obtaining an object image including an operating body, extracting the operating body from the object image, and calculating, by processing circuitry, an orientation of the operating body in the object image. The method further includes determining, by the processing circuitry, whether the operating body is of an operator that operates an apparatus based on the orientation of the operation body.

Abstract: A moving object detection method includes acquiring two depth image frames including depth information, which are obtained by continuously taking images of a moving object, the two depth image frames including a present depth image frame and at least one past depth image frame; dividing each of the two depth image frames into a plurality of blocks; calculating differences between numbers of pixels positioned in respective different depth areas in each of the plurality of blocks in the present depth image frame, and numbers of pixels positioned in respective different depth areas in each of the corresponding plurality of blocks in each of the at least one past depth image frame, which correspond to the plurality of blocks in the present depth image frame; and detecting a moving block in the present depth image frame based on the calculated difference and constituting the detected moving object.

Abstract: Disclosed is a method comprising steps of conducting image preprocessing so as to respectively obtain a candidate object region including a foreground image in a depth map and a color image; determining whether it is necessary to conduct a region growing process with respect to the candidate object region of the depth map; in the former case, conducting the region growing process with respect to the candidate object region of the depth map; and conducting, after the region growing process is conducted with respect to the candidate object region of the depth map, a depth value restoration process with respect to a candidate region.

Abstract: A method and an apparatus for separating a foreground image are disclosed. The method includes obtaining an input image, and color information and depth information of the input image; roughly dividing, based on the depth information of the input image, the input image to obtain an initial three-color image; reducing or expanding, based on the color information of the input image, an unknown region in the initial three-color image to obtain an optimized three-color image; and separating the foreground image from the optimized three-color image. According to the method, the initial three-color image can be optimized based on the color information of the input image, so that a more accurate three-color image can be obtained; thus the foreground image can be accurately separated from the three-color image.

Abstract: A method and an apparatus for separating a foreground image are disclosed. The method includes obtaining an input image and depth information of the input image; roughly dividing the input image to obtain a rough foreground region based on the depth information of the input image; obtaining motion information of the input image, and generating a three-color image from the rough foreground region based on the motion information; and separating the foreground image from the generated three-color image. According to the method, the three-color image is generated based on the depth information and the motion information, thus a foreground object can be accurately separated from the three-color image.

Abstract: Disclosed is a method comprising steps of conducting image preprocessing so as to respectively obtain a candidate object region including a foreground image in a depth map and a color image; determining whether it is necessary to conduct a region growing process with respect to the candidate object region of the depth map; in the former case, conducting the region growing process with respect to the candidate object region of the depth map; and conducting, after the region growing process is conducted with respect to the candidate object region of the depth map, a depth value restoration process with respect to a candidate region.

Abstract: A method and an apparatus for tracking an object, and a method for selecting a tracking feature are disclosed. The object tracking method includes tracking, based on a previously selected first tracking feature, the object in a sequence of video frames having the object; when a scene of the video frame is changed, selecting a second tracking feature with optimal tracking performance for the changed scene; and continuing tracking the object based on the selected second tracking feature. According to the object tracking method, a feature with optimal tracking performance for a corresponding scene can be dynamically selected in response to the changed scene in the tracking of a hand, thus it is possible to perform accurate tracking.

Abstract: Disclosed are a method and a device for detecting traffic signs in an input image camera. The method comprises a color space converting step of converting the input image into a HSV color space image; a filtering step of filtering, based on a predetermined pass range of a standard color of each of the traffic signs, the HSV color space image to obtain a filtered image, and then generating one or more connected domains based on one or more regions in the filtered image; a removing step of removing, based on a standard rule of the corresponding traffic sign, at least one of the generated connected domains, not being the corresponding traffic sign, and letting others of the generated connected domains be candidate traffic sign domains; and a recognition step of recognizing, based on a feature of each of the candidate traffic sign domains, the corresponding traffic sign.

Abstract: A moving object detection method includes acquiring two depth image frames including depth information, which are obtained by continuously taking images of a moving object, the two depth image frames including a present depth image frame and at least one past depth image frame; dividing each of the two depth image frames into a plurality of blocks; calculating differences between numbers of pixels positioned in respective different depth areas in each of the plurality of blocks in the present depth image frame, and numbers of pixels positioned in respective different depth areas in each of the corresponding plurality of blocks in each of the at least one past depth image frame, which correspond to the plurality of blocks in the present depth image frame; and detecting a moving block in the present depth image frame based on the calculated difference and constituting the detected moving object.

Abstract: A method for detecting a front vehicle comprises: a moving light detecting step of detecting a front moving light area of an own vehicle in at least one image of a front scene of the own vehicle obtained at a time; a vehicle candidate generating step of extracting a light area pair from the detected front moving light area so that a front vehicle candidate is generated; and a vehicle candidate verifying step of verifying that the front vehicle candidate is the front vehicle in cases where the front vehicle candidate meets predetermined characteristics of a vehicle light.