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Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

Sensors (Basel, Switzerland), 2019-05, Vol.19 (9), p.2048 [Tạp chí có phản biện]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution - NonCommercial - NoDerivatives ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19092048 ;PMID: 31052514

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Nhan đề:
Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City
Tác giả: Barthélemy, Johan ; Verstaevel, Nicolas ; Forehead, Hugh ; Perez, Pascal
Chủ đề: Artificial Intelligence ; Artificial neural networks ; CCTV ; Central business districts ; Computer Science ; Computer vision ; Design ; Edge computing ; Health surveillance ; International conferences ; Internet of Things ; Interoperability ; IoT ; Literature reviews ; Modeling and Simulation ; Multiagent Systems ; Population ; Privacy ; Real time ; Roads & highways ; Sensors ; Smart cities ; smart city ; Sustainability ; Traffic ; Traffic management ; traffic monitoring ; Transportation networks ; Urban planning ; video analytic
Là 1 phần của: Sensors (Basel, Switzerland), 2019-05, Vol.19 (9), p.2048
Mô tả: 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 framework designed to collect, store and access data from multiple sensors, with results from two real-world experiments.
Nơi xuất bản: Switzerland: MDPI AG
Ngôn ngữ: English
Số nhận dạng: ISSN: 1424-8220
EISSN: 1424-8220
DOI: 10.3390/s19092048
PMID: 31052514
Nguồn: DOAJ Directory of Open Access Journals
GFMER Free Medical Journals
PubMed Central
ROAD: Directory of Open Access Scholarly Resources
ProQuest Central

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Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

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