Camera physical space distribution determination method for monitoring system

Abstract

The invention belongs to the technical field of network security, and discloses a camera physical space distribution determination method for a monitoring system. The method includes: firstly, identifying different targets, wherein an IN event is registered when one target enters a camera shooting area, and an OUT event is registered when the target leaves the camera shooting area; obtaining all required combined events in a monitoring range within a specified time; modeling the movement of a target in a physical space by using a state transition probability matrix, calculating the transitionprobability of the target among the cameras, and analyzing the position relationship among the cameras; preliminarily surveying and mapping the camera network in the intranet to obtain an incomplete topological graph with a plurality of remaining camera nodes; perfecting the camera network topology by using the calculated and analyzed camera physical distribution and incomplete topology in combination with the network information of the video stream. According to the method, the video image field and the security field are combined, the calculation amount is smaller, and topology networking ismore accurate.

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.

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