226 results about "Video stitching" patented technology

A drift-free hybrid method of performing video stitching is provided. The method includes decoding a plurality of video bitstreams and storing prediction information. The decoded bitstreams form video images, spatially composed into a combined image. The image comprises frames of ideal stitched video sequence. The method uses prediction information in conjunction with previously generated frames to predict pixel blocks in the next frame. A stitched predicted block in the next frame is subtracted from a corresponding block in a corresponding frame to create a stitched raw residual block. The raw residual block is forward transformed, quantized, entropy encoded and added to the stitched video bitstream along with the prediction information. Also, the stitched raw residual block is inverse transformed and dequantized to create a stitched decoded residual block. The residual block is added to the predicted block to generate the stitched reconstructed block in the next frame of the sequence.

Multiple images taken from different locations or angles and viewpoints are joined and stitched. After the stitching and joining a much larger video or image scenery may be produced than any one image or video form which the final scenery was produced or an image of a different perspective than any of the input images may be produced.

The invention provides an intelligent video analysis system and method based on PTZ video camera cruising. The system comprises a front-end PTZ video camera and a rear-end server. The rear-end server comprises a cruising configuration module, a PTZ video camera control module, a video analysis configuration module, a system control module, an intelligent video analysis module and an alarm management module. The cruising configuration module is used for setting cruising groups and cruising points of the system to generate a cruising list. The PTZ video camera control module is used for analyzing the cruising list and generating a cruising execution list automatically. The video analysis configuration module is used for configuring related intelligent video analytical algorithms for all the cruising points and configuring the cruising points into the cruising list. The system control module is used for calibrating video camera parameters of each cruising point, calling a video stitching module and automatically generating a panorama splicing map in the whole cruising period according to the execution sequence of the cruising points. The intelligent video analysis module is used for conducting target detection and event analysis according to related setting and giving a real-time alarm to a detected event. The alarm management module is used for conducting corresponding local management on the alarm.

The invention discloses a panoramic video stitching method based on a multi-depth image transformation matrix. The panoramic video stitching method based on the multi-depth image transformation matrix comprises the following steps: synthesizing a plurality of videos provided with mutually overlapped regions and shot by a plurality of cameras into a panoramic video. The method comprises a background calibration process and a real-time stitching process. A reference planar image transformation matrix with an infinitive depth is obtained in the background calibration process, and besides, other depth information is divided into different depth levels, so that a planar image transformation matrix corresponding to each depth level is obtained; in the real-time stitching process, a reference panoramic image is obtained by using the reference planar image transformation matrix, besides, the current depth information in the overlapped region is calculated, and the panoramic image of the overlapped region is obtained according to the image transformation matrix corresponding to the depth information; finally, the panoramic image of the overlapped region and the reference panoramic image are mixed into the panoramic video image. The method disclosed by the invention can obtain stable, continuous and high-quality panoramic video, and the method has the characteristics of small calculated amount and high running speed.

A low-complexity panoramic image and video stitching method includes the steps of (1) providing a first image/video and a second image/video; (2) carrying out an image/video alignment to locate a plurality of common features from the first and second images/videos and to align the first and second images/videos pursuant to the common features; (3) carrying out an image/video projection and warping to make the first and second coordinates of the common features in the first and second images/videos correspond to each other and to stitch the first and second images/videos according to the mutually corresponsive first and second coordinates; (4) carrying out an image/video repairing and blending for compensating chromatic aberrations of at least one seam between the first and second images/videos; and outputting the stitched first and second images/videos.

The invention discloses an image brightness and color balancing method and system for video stitching. The method comprises the steps of S1, acquiring two adjacent images to be stitched, calculating an image transformation matrix according to the two adjacent images to be stitched and setting an iteration suspensive condition; S2, determining the overlapping part of the two adjacent images to be stitched according to the image transformation matrix, and determining the brightness and color compensation coefficients of the images according to the brightness and color difference of the images with similar textures in the overlapping part; S3, adjusting the brightness and color of the two adjacent images to be stitched to obtain an adjusted image according to the brightness and color compensation coefficients of the images, and recalculating the image transformation matrix according to the adjusted image; S4, repeating S2 and S3 in sequence till the iteration suspensive condition is met, obtaining a final image transformation matrix and the brightness and color compensation coefficients of the final image, and saving the current original images to be stitched as reference images. By the adoption of the method and system, brightness and color jump occurring during video stitching can be eliminated.

Disclosed are a color correction apparatus for panorama video stitching and a method of selecting a reference image using the same. A method of selecting a reference image for color correction when stitching panorama video based on input images includes selecting an optimum reference image candidate from the input images based on standard deviations for overlapping regions between the input images, performing color correction on the input images based on the optimum reference image candidate, and validating the optimum reference image candidate based on the color-corrected input images.

The invention provides a panoramic virtual alert target relay tracking device. In the invention, nine paths of videos of a camera set of the tracking device are sequentially input into three three-channel video acquiring and stitching processing boards for video stitching or single-path video extraction output, and the output videos of the three three-channel video acquiring and stitching processing boards are input into a video input interface of a three-channel video acquiring and stitching target tracking board to realize panoramic seamless stitching display under a natural scene; and a motion target of a virtual alert area is detected according to an external command to finish stable and real-time tracking of a threatening target. The panoramic virtual alert target relay tracking device solves the problems that large-view-field monitoring can be realized in the actual application but a remote target cannot be precisely and stably tracked, and the remote target can be precisely and stably tracked but is not subject to the panoramic monitoring, and can ensure that the target can be accurately and stably tracked under the condition of monitoring the threatening target.

The invention discloses a panoramic video stitching method and device. The panoramic video stitching method is used for stitching video images acquired by front-end devices to be stitched into a panoramic video image through a client and comprises the steps of binding the front-end devices to be stitched into a resource group, acquiring four vertices of a stitched video image part of each front-end device so as to form a cut quadrilateral corresponding to each corresponding front-end device, calculating the deformity correction and conversion matrix of each front-end device according to the acquired vertices and a set standard rectangle, converting the video images acquired by all the front-end devices, and then, laying out the converted video images according to set position information, so as to form and display a panoramic video image. The panoramic video stitching device disclosed by the invention comprises a configuration module, a vertex acquisition and matrix generation module and a stitching module. According to the method and the device, disclosed by the invention, the deformity correction and conversion can be carried out by the front-end devices or the client so as to realize panoramic stitching, and the requirements on the performance of matrix conversion equipment are not high, so that the method and the device are particularly applicable to the upgrade and development of old items.

An exemplary video generation system (the “system”) receives a plurality of overlapping and concurrently-captured video instances from a plurality of video capture devices in a static configuration. The system temporally synchronizes concurrently-captured video data from each video instance to form a plurality of image sets and identifies a particular image set from the plurality of image sets. The system then performs a camera registration process on the particular image set in order to determine camera registration parameter data. Based on the camera registration parameter data determined using the camera registration process with respect to the particular image set, the system then performs a video stitching process on each of the image sets within the plurality of image sets to form stitched video content representative of a scene captured by the plurality of video capture devices in the static configuration. Corresponding methods and systems are also disclosed.

The invention provides a distributed video decoding system and a synchronous stitching and on-wall method thereof. The distributed video decoding system comprises a decoder group consisting of a plurality of discrete IP (Internet Protocol) video decoders. According to the method, synchronous stitching and on-wall of a plurality of discrete IP video decoders are realized by using a video stitching and synchronizing mechanism and a decoding control mechanism. According to the method and the system, parts of IP images are selected through a plurality of decoders respectively to be directly decoded and put on a wall without being limited to a centralized stitching controller or purchasing an expensive stitching management hardware platform, so that the cost and the complexity are effectively reduced, and meanwhile, a better effect is achieved; the synchronizing mechanism of the distributed method is implemented on the basis of software, the hardware dependency is extremely low, and the system can be very conveniently transplanted to different hardware platforms.

The invention discloses a video stitching method for a sports scene. The video stitching method for the sports scene includes that firstly, using an improved congruence-transformation invariant-feature algorithm to solve common feature points in different videos to improve feature extraction speed; secondly, using an iteration method to calculate a minimum brightness difference route to dynamically regulate a stitching seam to process problems when a moving object passes through the overlapped region between stitching frames so as to avoid the double image of the moving object after passing the overlapped region; finally, using a feature-based video tone normalization method to eliminate the color difference between video frames. The video stitching method for the sports scene can be broadly used for the video monitoring for the large sports scene; the video stitching method for the sports scene improves the adaptation of the video stitching to different environments, solves the common problems of the video stitching and directly and greatly drives the improvement of the video stitching algorithm.

The invention relates to the digital image processing technology field and discloses a binocular camera imaging control method used for video stitching and an apparatus thereof. The binocular camera imaging method comprises the following steps of carrying out stitching fusion on two current images collected by a binocular camera in a current frame; calculating a fusion luminance difference and a fusion color difference of a fusion area of the current images before the fusion and after the fusion; according to the fusion luminance difference and the fusion color difference, adjusting a shooting parameter of the camera used to shoot the current images; and making the camera used to shoot the current images shoot a next frame of images withan adjusted shooting parameter. In the invention, brightness and colors of the cameras can be controlled from an aspect of a video source so that the brightness and the colors of the fusion area and a non-fusion area are close to each other after stitching fusion is performed on the next frame of two images; and a condition that an integral stitching effect generated through fusion is not uniform because the difference of the brightness or the colors of the two cameras is great is avoided.

The invention belongs to the technical field of video processing. In order to avoid ghost images and object deformation during stitching of videos with moving objects and complete synchronization of information of different video sources on a timeline to enable the information to be well used for various processing based on still image registration stitching during subsequent stitching and to obtain good effect, the technical scheme includes that a multisource video stitching method with the time domain synchronization calibration technology includes the steps: storing inputted video sequences of different video sources into a frame buffer for pre-processing; detecting Harris corners of frame images of each video by an image gray value and optimizing distribution of the corners; performing coordinate unification of two to-be-stitched images spatially and completing spatial match; and performing image fusion after calibration. The multisource video stitching method with the time domain synchronization calibration technology is mainly applied to video image processing.

The invention provides a multi-image video stitching method and device. The method includes the following steps of collecting video signals, conducting decoding conversion, and then obtaining video interwoven signals; separating and analyzing the video interwoven signals, obtaining synchronous signals and multi-channel video interwoven signals, and conducting cross processing on the multi-channel video interwoven signals; conducting interlacing removing on the video signals undergoing cross processing; calculating the perpendicular resolution ratio according to the synchronous signals, and judging whether the video signals undergoing interlacing removing belong to a 480p system or not according to the perpendicular resolution ratio; if yes, the video signals of the 480p system are converted into video signals of a 576p system; conducting multi-image video stitching according to the video signals of the 576p system. According to the method and the device, multi-channel video signal stitching display can be achieved through an FPGA, cost is low, the amount of collected information is large, and a PCB is simple in wire arrangement and port connection and high in controllability.

The invention discloses a video stitching method based on image semantic segmentation. The video stitching method comprises the following steps: acquiring a video single-frame image acquired by a certain video sensor; accurately acquiring a remote sensing image of the target area as a splicing reference background according to the video position information in combination with surface feature shape features in the single-frame image; performing semantic segmentation on the video single-frame image and the spliced reference background image by adopting a full convolutional neural network; combining the segmentation result with a matching method based on a feature vector Euclidean distance to serve as a matching constraint condition of feature points, and selecting a matching feature point set; according to the selected matching feature point set, realizing matching of each frame of image of the video and the splicing reference background image; and carrying out time sequence fusion on all results obtained by matching to obtain a final video splicing result. The method has the advantages that more accurate feature point matching and high-quality video splicing are achieved, the method is suitable for multi-video splicing with a large overlapping area, and multi-video splicing with a small overlapping area can be well achieved.

The invention relates to the field of video processing, and discloses a video stitching method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: detecting the similarity between a first image and a second image, wherein the first image is the last frame of image of a first to-be-stitched video, and the second image is the first frame of image of a second to-be-stitched video; then, if the similarity meets a preset condition, determining a motion vector of the first image relative to the second image; according to the motion vector, determining at least one compensation frame between the first image and the second image, and splicing the first image and the second image based on at least one compensation frame so as to splice the first to-be-spliced video and the second to-be-spliced video. According to the method provided by the embodiment of the invention, the smooth compensation can be efficiently carried out on jitter occurring at the joint in real time, so smooth transition can be carried out among multiple video segments, and the occurrence of image jitter or image hopping after the multiple video segments are splicedis effectively reduced.