The article presents variant of software architectural solutions that support a special function
of video analytics – multi-camera support in video surveillance systems, which based on decentralized
control information exchange. Considered the main capabilities of existing hardware platforms for
intelligent video surveillance cameras, as well as the analysis and generalization of existing architectures
of distributed computing systems, approaches to the functional design and subsequent implementation
of software modules that provide a message exchange protocol during the process of multi-camera
tracking of an object are proposed. The functions of multi-camera tracking focused on the use of
architecture CAN P2P network (Content Addressable Network) is highlighted. A hardware and software implementation of such network based on the CAN (Controller Area Network) protocols - C2C
architecture (CAN2CAN) is proposed. The features of the implementation of software modules are
determined depending on the type of control of the functions of a distributed computing system and the
hardware features of intelligent video cameras. On the example of a number of practical
implementations of open source software and controllers, both a generalized multi-level architecture of
video analytics software for the multi-camera support function and architectural templates of modules
and software that implements the decentralized interaction of a set of intelligent video cameras in the
process of multi-camera support, implemented using C2C network.
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Nikolaev Dmitriy Aleksandrovich
Russian Federation Security Guard Service Federal Academy
Orel, Russian Federation
