Ezzat, Mostafa Ahmed ; Abd El Ghany, Mohamed A. ; Almotairi, Sultan ; Salem, Mohammed A.-M. (2024)
Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends.
In: Sensors, 2021, 21 (9)
doi: 10.26083/tuprints-00019611
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends |
| Language: | English |
| Date: | 12 January 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2021 |
| Place of primary publication: | Basel |
| Publisher: | MDPI |
| Journal or Publication Title: | Sensors |
| Volume of the journal: | 21 |
| Issue Number: | 9 |
| Collation: | 28 Seiten |
| DOI: | 10.26083/tuprints-00019611 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | 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. |
| Uncontrolled Keywords: | smart city, IOT, computer vision, surveillance |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-196116 |
| Additional Information: | This article belongs to the Special Issue Artificial Intelligence and Their Applications in Smart Cities |
| Classification DDC: | 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Integrated Electronic Systems (IES) |
| Date Deposited: | 12 Jan 2024 14:47 |
| Last Modified: | 12 Mar 2024 14:45 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19611 |
| PPN: | 516171623 |
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