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Edge-computing video analytics for real-time traffic monitoring in a smart city

Journal Article


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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.

Publication Date


  • 2019

Citation


  • Barthelemy, J., Verstaevel, N. R., Forehead, H. I. & Perez, P. (2019). Edge-computing video analytics for real-time traffic monitoring in a smart city. Sensors, 19 (9), 2048-1-2048-23.

Scopus Eid


  • 2-s2.0-85065670219

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1293&context=smartpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/266

Start Page


  • 2048-1

End Page


  • 2048-23

Volume


  • 19

Issue


  • 9

Place Of Publication


  • Switzerland

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.

Publication Date


  • 2019

Citation


  • Barthelemy, J., Verstaevel, N. R., Forehead, H. I. & Perez, P. (2019). Edge-computing video analytics for real-time traffic monitoring in a smart city. Sensors, 19 (9), 2048-1-2048-23.

Scopus Eid


  • 2-s2.0-85065670219

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1293&context=smartpapers

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/266

Start Page


  • 2048-1

End Page


  • 2048-23

Volume


  • 19

Issue


  • 9

Place Of Publication


  • Switzerland