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Title Multiple Objects Association System for the Smart City
ID_Doc 38014
Authors Popov, AY; Ibragimov, SV; Malyshev, SA; Abdurakhmanova, RA
Title Multiple Objects Association System for the Smart City
Year 2021
Published
Abstract The increase of population in large cities require safety systems improvement for urban environment. The traditional Smart City security systems are highly centralized to process a large number of video streams in the massive-parallel data centers. As a result, this requires an expensive network infrastructure and makes it available only for large metropolitan areas. In this paper, we propose a distributed system for analyzing the luggage and people relations in crowded places. The system processes video on the camera's nodes and detects dependent tracks for objects moving. Then we form a combined scene in the central node to accurately represent the association of people and luggage. In this research stage, we present the basics concepts of multiple object re-identification and association measurement, as well as knowledge graph constructing. We describe the methodology of data obtaining and show experimental results of visual object recognition on camera nodes.
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