Urban technical service security and protection method

Abstract

The invention provides an urban technical service security and protection method. The urban technical service security and protection method comprises the steps of: setting a three-dimensional virtualscene simulating a monitored place, and adding a virtual photographing device at a corresponding position of the three-dimensional virtual scene according to the practical position of a photographingdevice in the monitored place; according to technical parameters of the photographing device, establishing three-dimensional data models for different types of cameras; selecting a matching feature point from a two-dimensional video image obtained from the photographing device, and, according to the corresponding mapping point of the matching feature point in the three-dimensional virtual scene,obtaining the precise position and posture of the virtual photographing device through a matching algorithm; integrating the two-dimensional video image obtained by the photographing device into the three-dimensional virtual scene; and, using the above steps in a three-dimensional urban security and protection system, and, according to the type and the installation position of the photographing device of the three-dimensional urban security and protection system, establishing an urban full-domain video monitoring visual range data model in combination with a visual range three-dimensional datamodel of the photographing device, wherein the photographing device is a CCD or an infrared photographing device.

Description

technical field [0001] The invention relates to the field of technical services, in particular to a security method for urban technical services. Background technique [0002] Due to the lack of overall scene information of the monitoring area in the existing monitoring system, it is difficult to effectively associate the two-dimensional monitoring video with the actual three-dimensional environment. Due to the lack of seamless fusion and centralized display of multi-mode and multi-quantity image information, it is impossible to grasp and control the overall real-time situation of the large scene, so it cannot really provide effective means for overall correlation and comprehensive scheduling. [0003] Each sub-camera surveillance video has only a partial perspective. For areas covered by multiple cameras, in order to obtain the video with the best perspective, it mainly relies on time-consuming and laborious manual selection, which may cause analysis deviations, errors, and...

AI Technical Summary

Problems solved by technology

[0002] Due to the lack of overall scene information of the monitoring area in the existing monitoring system, it is difficult to effectively associate the two-dimensional monitoring video with the actual three-dimensional environment.

Due to the lack of seamless fusion and centralized display of multi-mode and multi-quantity image information, it is impossible to grasp and control the overall real-time situation of large scenes, so it cannot really provide effective means for overall correlation and comprehensive scheduling

[0003] Each sub-camera surveillance video has only a partial perspective. For areas covered by multiple cameras, in order to obtain the video with the best perspective, it mainly relies on time-consuming and laborious manual selection, which may cause analysis deviations, errors, ...

Images