A Method for Measuring the Physical Spatial Distribution of Cameras Oriented to Surveillance System

Abstract

The invention belongs to the technical field of network security, and discloses a method for measuring the physical space distribution of a camera facing a monitoring system; firstly, different targets are identified, when a target enters the camera shooting area, an IN event is registered, and when the target leaves the camera shooting area , register the OUT event; obtain all the required combined events within the monitoring range within the specified time; use the probability matrix of state transition to model the movement of the target in the physical space, calculate the probability of the target moving between each camera, and analyze the relationship between the cameras Positional relationship; a preliminary survey and mapping of the camera network in the intranet was carried out, and an incomplete topology map was obtained, with many remaining camera nodes; the physical distribution of cameras and incomplete topology obtained by calculation and analysis were combined with network information of video streams , improve the camera network topology. The invention combines the video image field and the security field, with less calculation amount and more accurate topological networking.

Description

technical field [0001] The invention belongs to the technical field of network security, and in particular relates to a monitoring system-oriented method for measuring the physical space distribution of cameras. Background technique [0002] With the start and construction of safe cities, my country has basically achieved full coverage of video surveillance systems. With the wide application of cameras, a large number of camera services and applications have emerged as the times require. While providing convenience to people, it also provides opportunities for some lawbreakers. The characteristics of the camera network and the openness of the public network are easy to be exploited by criminals. Criminals can more easily obtain camera information and even control permissions through the network and the cloud. Therefore, it is very important to have effective security situation awareness for the camera network. [0003] At present, most cameras are located in the intranet e...

AI Technical Summary

Problems solved by technology

[0005] To sum up, the problems existing in the existing technology are: the existing camera network physical space distribution method has a large amount of calculation, the network scale is small, and the missing camera is not well assigned.

At present, the devices in the intranet are protected by technologies such as firewalls or VPNs. The existing camera topology construction method is not accurate. Quickly establishing an accurate and large camera topology structure is of great significance for locating the source of the attack.

Images