Panoramic monitoring and PTZ camera linkage method based on video feature matching

Abstract

A panoramic monitoring and PTZ camera linkage method based on video feature matching includes the following steps of splicing of fixed camera video images, forming of a PTZ camera background image, feature matching of a fixed camera video spliced image and the PTZ camera background image, and PTZ camera scheduling, wherein in the step of splicing of the fixed camera video images, the video images shot by different fixed cameras from different angles are spliced through the partially constrained feather method to obtain a panoramic video spliced image; in the step of forming of the PTZ camera background image, a PTZ camera scans according to step size to obtain the PTZ camera background image; the feature matching of the fixed camera video spliced image and the PTZ camera background image is carried out in the mode that feature points of the fixed camera video spliced image and the PTZ camera background image are extracted for feature matching, and a mapping relation between the fixed camera video spliced image and the PTZ camera background image is obtained; PTZ camera scheduling is carried out by obtaining a point on the fixed camera video spliced image, namely the PTZ camera is scheduled to the point by obtaining the point on the fixed camera video spliced image to capture detail information of the point.

Description

technical field [0001] The invention relates to a monitoring method, in particular to a PTZ camera scheduling method for video monitoring. Background technique [0002] Panoramic monitoring refers to the technology of integrating video resources within a certain range and providing users with a single perspective for observation. [0003] The current implementation of panoramic monitoring mainly includes two types, one is based on multi-camera video stitching, and the other is to achieve large-scale monitoring through wide-angle or fisheye cameras. [0004] Multi-camera video stitching refers to the application of several cameras to shoot at a fixed angle of view, and then stitch the obtained video images to form a video panoramic image. Currently, multi-camera splicing is mainly reckless, which requires that the cameras must be placed at approximately the same optical center, and the image edges are aligned through the emission of the cameras. On this basis, the Stitching...

AI Technical Summary

Problems solved by technology

On this basis, the Stitching method based on image features can solve the stitching problem in the case of overlapping images in a certain range, but this method also has certain limitations. First, it requires high emission accuracy for multiple cameras. Non-concentric videos cannot find enough features to match

[0005] Wide-angle or fisheye cameras can monitor a wide range through a single camera, but there are also disadvantages of video distortion, which can be solved to a certain extent by distortion correction, which will lead to uneven distribution of image edge resolution and blur Unclear question

[0006] How to grasp the details more accurately under the premise of realizing panoramic monitoring is of great significance to the video monitoring system. Linkage of fixed-point cameras and dispatching PTZ cameras are effective means for detailed observation of the scene. At present, the main ways to complete this function are: Two types: the first is to embed the PTZ camera into the fixed camera to form a 1+1 mode. This method is often embedded in the middle, and the fixed camera will form a blind spot in the central monitoring area; the second is to separate it in the form of calibration Realized by implementing PTZ or preset position correspondence in a discrete grid manner in the panoramic video, this method requires a large user configuration workload, and the accuracy is not high

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