Panoramic video rapid splicing method and system

Abstract

The invention discloses a panoramic video quick splicing method, which comprises the following steps of S1, performing offline calibration on a camera group through a calibration object image, and obtaining and storing a projection transformation matrix of a camera; S2, acquiring to-be-spliced images collected by the camera group for a shooting area, performing offline detection and registrationafter preprocessing, and processing the images through a projection transformation matrix of the camera to obtain and store an image mapping matrix of the to-be-spliced images; and S3, acquiring the current to-be-spliced image acquired by the camera group in real time, projecting the current to-be-spliced image into a standard coordinate system, calling the image mapping matrix to determine an overlapping region of the current to-be-spliced image, and then performing splicing fusion processing to generate a panoramic spliced image. The invention further provides a system for realizing the method, so that lossless fusion of the splicing seams in the splicing process is realized, the fusion algorithm is small in calculated amount, high in operation efficiency and better in splicing effect, the requirements of panoramic monitoring in various civil and military fields can be well met, and the method is suitable for popularization.

Description

technical field [0001] The invention relates to the technical field of video image synthesis, in particular to a method and system for fast stitching of panoramic videos. Background technique [0002] The development and improvement of computer technology has driven the continuous progress of various video technologies. High-quality, high-definition images are gradually integrated into people's daily life, and video surveillance technology is no exception. Due to the continuous enhancement of video surveillance technology, people's requirements for video surveillance are also getting higher and higher. More and more information, on the other hand also requires higher and higher image quality. In the application scenarios of video surveillance, such as parking lots, railway stations, squares, traffic intersections, etc., because the viewfinder range of a single camera is very small, managers often need to observe several surveillance images back and forth, which will make th...

AI Technical Summary

Problems solved by technology

[0004] The traditional image stitching method generally extracts features such as ORB and Sift from the picture first, and then performs feature matching and fusion. For example, in the invention patent application with the publication number CN103516995A, a real-time panoramic video stitching method based on ORB features is disclosed. And device, its method adopts ORB feature extraction algorithm to carry out feature point extraction to each road image of the same time and ca...

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