Abstract: The present disclosure relates to a method and an apparatus for measuring a distance using a vehicle-mounted camera, a storage medium, and an electronic device. The method includes: calibrating a camera based on camera calibration images to obtain a camera parameter; detecting parallel lane lines to obtain a vanishing point of the parallel lane lines according to the detected parallel lane lines; calculating a pitch angle of the camera according to the camera parameter and the vanishing point; determining information of an object to be detected in an image captured by the camera; and calculating a distance from the object to be detected to the camera and a size of the object to be detected according to the information of the object to be detected, the pitch angle of the camera, and the camera parameter.

Abstract: This application provides an image matching method, an image matching apparatus, an image matching system, and a storage medium, the image matching method includes: an extension step of extending an original reference image into one or more extended reference images, wherein the one or more extended reference images is obtained by deforming the original reference image; and an image matching step of image-matching a detected image with candidate reference images that include the original reference image and the one or more extended reference images.

Abstract: The present application provides an object tracking method. The object tracking method includes obtaining an image of an area in front of a vehicle; dividing the image of the area in the front of the vehicle into a plurality of sub-images; determining a plurality of first sub-images that satisfy a plurality of threshold conditions out of the plurality of sub-images; selecting a plurality of target sub-images out of the plurality of first sub-images, at least one of the plurality of first sub-images is not selected as one of the plurality of target sub-images; and recognizing a target object in one of the plurality of target sub-images.

Abstract: The present disclosure discloses a sample acquisition method, a target detection model generation method, a target detection method, a computing device, and a computer readable medium. The sample acquisition method includes: adding a perturbation to a pre-marked sample original box in an original image to obtain a sample selection box, wherein an image framed by the sample original box contains a target; and extracting an image framed by the sample selection box as a sample. The technical solutions of the present disclosure can effectively increase the number of the samples that can be acquired in the original image, and adding a background to the samples can effectively improve the recognition accuracy of the trained target detection model.

Abstract: An accessible processing method of webpage contents and accessible webpage device are provided. The foregoing accessible processing method may include the follows. A document outline list tag is added to a webpage. After the document outline list tag obtains a focus, the following is further included. All title tags of a specified level in current webpage may be traversed. An anchor point may be added to each title tag of the specified level. Text information of each title tag of the specified level may be respectively copied to a corresponding link newly established. The link newly established may be enabled to point to an anchor point of a corresponding title label. Each link newly established may be taken as a list item. The list item may be added to the document outline list tag.

Abstract: An image segmentation method, an image segmentation system, a storage medium and an apparatus including the image segmentation system or the storage medium are provided. The image segmentation method includes: obtaining a connected region where a target object is located from a depth image; determining a principal direction or a secondary direction of the connected region by a principal component analysis method; and acquiring an image of the target object from the connected region according to relationship between morphology of the target object and the principal direction or the secondary direction.

Abstract: The present disclosure provides an image search method and apparatus, wherein the method includes: acquiring an image to be searched; extracting a multi-scale feature of the image to be searched; determining a hash value of the image to be searched according to the multi-scale feature; and obtaining original images similar to the image to be searched by comparing the multi-scale feature of the image to be searched with a multi-scale feature of each original image corresponding to a hash bucket to which the hash value belongs.

Abstract: A method of correcting image distortion of an optical device in a display device and a display device are provided. The method includes: generating a plurality of pre-distorted images having different correcting values based on a same reference image; inputting each of the pre-distorted images into the optical device respectively to generate a plurality of display images in one-to-one correspondence to the plurality of pre-distorted images; comparing each of the display images with the reference image respectively, to obtain a display image having a distortion value smaller than a first threshold with respect to the reference image, and determining a correcting value of a pre-distorted image corresponding to this display image as a distortion value of the display device; and correcting the image distortion of the optical device depending on the distortion value of the optical device.

Abstract: Cluster-based optimization of antenna tilts in a wireless network and other related aspects are presented herein. A screening component can receive information indicating wireless conditions of respective wireless access points of a geographical region, select, based on a performance criterion, an access point of the respective wireless access points, and group the access point and an other access point of the respective wireless access points into a representation of a cluster of access points. Further, an optimization component can derive antenna tilt values for respective access points of the cluster of the access points in response to a simulation of an application of the antenna tilt values to the respective access points. Furthermore, an implementation component can direct the antenna tilt values to respective components of the respective access points.

Abstract: The present disclosure relates to an image correction method and device. The method includes detecting an input image to obtain boundary straight lines. The method includes determining vertices based on the obtained boundary straight line. The method includes determining an estimated height-to-width ratio based on the obtained vertices. The method includes performing perspective transformation on the input image based on the estimated height-to-width ratio.

Abstract: A method of correcting image distortion of an optical device in a display device and a display device are provided. The method includes: generating a plurality of pre-distorted images having different correcting values based on a same reference image; inputting each of the pre-distorted images into the optical device respectively to generate a plurality of display images in one-to-one correspondence to the plurality of pre-distorted images; comparing each of the display images with the reference image respectively, to obtain a display image having a distortion value smaller than a first threshold with respect to the reference image, and determining a correcting value of a pre-distorted image corresponding to this display image as a distortion value of the display device; and correcting the image distortion of the optical device depending on the distortion value of the optical device.

Abstract: An automatic object recognition method and an automatic object recognition system, a shopping device and a non-transitory computer readable storage medium are disclosed. The automatic object recognition method includes: acquiring a first image and a second image, both the first image and the second image including a same object, and the second image being a depth image; extracting a feature point of the object based on the first image; obtaining a joint feature based on the feature point from the first image and depth information of the second image; and recognizing the object based on the joint feature.

Abstract: This application provides an image matching method, an image matching apparatus, an image matching system, and a storage medium, the image matching method includes: an extension step of extending an original reference image into one or more extended reference images, wherein the one or more extended reference images is obtained by deforming the original reference image; and an image matching step of image-matching a detected image with candidate reference images that include the original reference image and the one or more extended reference images.

Abstract: The present disclosure provides an image correction method and device. The method includes: correcting a target face image; obtaining first eye position information and second eye position information through calculation according to the face image; obtaining a first image correction parameter and a second image correction parameter via calculation based on the first eye position information and the second eye position information; and correcting a first image according to the first image correction parameter and correcting a second image according to the second image correction parameter.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable storage medium, including executable instructions that, when executed by a processing system including a processor, facilitate performance of operations that include assuming control of a video content transfer between a video server and a video client for HTTP traffic responsive to determining the HTTP traffic is for video content, generating a video transfer rate selection and a video transfer resolution selection for a requested video chunk of a time slot of the video content, generating an optimized manifest file for the requested video chunk, and publishing the optimized manifest file to the video client, wherein the video client request the requested video chunk from the video server based on the optimized manifest. Other embodiments are disclosed.

Abstract: A heuristic finger detection method based on a depth image is disclosed. The method includes the steps of: acquiring a hand connected region from a user's depth image; calculating the central point of the hand connected region; calculating a plurality of extremely far points in the hand connected region that have extremum 3D geodesic distances from the central point; detecting fingertips and finger regions from the plurality of calculated extremely far points; and outputting fingertip positions and the finger regions. The method calculates and detects fingertips of users by means of 3D geodesic distance, without extracting boundary contours of hand regions, which improves robustness of gesture detection and reduces detection error rates. The method has the advantages of higher finger detection accuracy and fast computing speed.

Abstract: The present disclosure provides a positioning device and an activity data acquisition device. The positioning device includes: a receiving module configured to receive coarse-positioning location information of each determined person and actual location information of an unknown person to be identified on an activity field; a calculating module configured to calculate a first distance between a position indicated by the actual location information of the person to be identified and a position indicated by the coarse-positioning location information of each determined person; a determining module configured to determine the identity of the person to be identified as the determined person corresponding to the smallest first distance, and use the actual location information as accurate-positioning location information of the determined person.

Abstract: Embodiments of the present disclosure disclose an image detection method including: establishing a data model based on mark point information of a group of first strip-like line segments, the mark point information of each first strip-like line segment including the length, the width, the direction and the coordinate of the center point of the first strip-like line segment, establishing a priori model based on the distribution and the number of a group of second strip-like line segments which constitute a target structure, establishing a probability density function for the data model and the priori model, and performing sampling and solution optimization to obtain a globally optimal solution, and detecting the image taking the globally optimal solution as a target model. The embodiments of the present disclosure also disclose an image detection system and a non-volatile computer readable medium.

Abstract: Described herein are a method, apparatus, terminal, and system for measuring a trajectory tracking accuracy of a target. Using each method, apparatus, terminal, and system to measure the trajectory tracking accuracy of the target includes determining a location information of the actual tracking trajectory of the target; comparing the location information of the actual tracking trajectory with a location information of the target trajectory to determine a variance between the location information of the actual tracking trajectory and the location information of the target trajectory; and determining the tracking accuracy of the target based on the variance.

Abstract: The present disclosure provides a positioning device and an activity data acquisition device. The positioning device includes: a receiving module configured to receive coarse-positioning location information of each determined person and actual location information of an unknown person to be identified on an activity field; a calculating module configured to calculate a first distance between a position indicated by the actual location information of the person to be identified and a position indicated by the coarse-positioning location information of each determined person; a determining module configured to determine the identity of the person to be identified as the determined person corresponding to the smallest first distance, and use the actual location information as accurate-positioning location information of the determined person.