| 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 |
|
| DOI |
10.1109/ElConRus51938.2021.9396415 |
| 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. |
| Author Keywords |
mart city; re-identification; objects association; multiple objects tracking; object detection; deep learning; knowledge graph; convolutional neural network |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000669709802052 |
| WoS Category |
Engineering, Electrical & Electronic |
| Research Area |
Engineering |
| PDF |
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