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Smart city article details

Title	Edge-Computing Video Analytics For Real-Time Traffic Monitoring In A Smart City
ID_Doc	21836
Authors	Barthélemy, J; Verstaevel, N; Forehead, H; Perez, P
Year	2019
Published	SENSORS, 19, 9
DOI	http://dx.doi.org/10.3390/s19092048
Abstract	The increasing development of urban centers brings serious challenges for traffic management. In this paper, we introduce a smart visual sensor, developed for a pilot project taking place in the Australian city of Liverpool (NSW). The project's aim was to design and evaluate an edge-computing device using computer vision and deep neural networks to track in real-time multi-modal transportation while ensuring citizens' privacy. The performance of the sensor was evaluated on a town center dataset. We also introduce the interoperable Agnosticity framework designed to collect, store and access data from multiple sensors, with results from two real-world experiments.
Author Keywords	edge-computing; IoT; smart city; video analytic; traffic monitoring; CCTV

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