Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends
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Faculty of Media Engineering and Technology, German University in Cairo, Cairo 11511, Egypt
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Electronics Department, German University in Cairo, Cairo 11511, Egypt
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Integrated Electronic Systems Lab, TU Darmstadt, 64283 Darmstadt, Germany
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Department of Natural and Applied Sciences, Faculty of Community College, Majmaah University, Majmaah 11952, Saudi Arabia
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Faculty of Computer and Information Sciences, Ain Shams University, Cairo 11566, Egypt
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Author to whom correspondence should be addressed.
Academic Editor: Tomás Mateo Sanguino
Sensors 2021, 21(9), 3222; https://doi.org/10.3390/s21093222
Received: 19 March 2021
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Revised: 26 April 2021
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Accepted: 27 April 2021
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Published: 6 May 2021
(This article belongs to the Special Issue Artificial Intelligence and Their Applications in Smart Cities)
The automation strategy of today’s smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights. Although there have been recent reviews in this field, there is a remarkable gap that addresses four sides of the problem. Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems. In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced. Moreover, future trends and challenges are addressed.
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Keywords:
smart city; IOT; computer vision; surveillance
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MDPI and ACS Style
Ezzat, M.A.; Abd El Ghany, M.A.; Almotairi, S.; Salem, M.A.-M. Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends. Sensors 2021, 21, 3222. https://doi.org/10.3390/s21093222
AMA Style
Ezzat MA, Abd El Ghany MA, Almotairi S, Salem MA-M. Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends. Sensors. 2021; 21(9):3222. https://doi.org/10.3390/s21093222
Chicago/Turabian StyleEzzat, Mostafa A., Mohamed A. Abd El Ghany, Sultan Almotairi, and Mohammed A.-M. Salem. 2021. "Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends" Sensors 21, no. 9: 3222. https://doi.org/10.3390/s21093222
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