智慧城市视频监控的横向综述：边缘设备、应用、数据集及未来趋势

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends.

作者信息

Ezzat Mostafa Ahmed, Abd El Ghany Mohamed A, Almotairi Sultan, Salem Mohammed A-M

机构信息

Faculty of Media Engineering and Technology, German University in Cairo, Cairo 11511, Egypt.

Electronics Department, German University in Cairo, Cairo 11511, Egypt.

出版信息

Sensors (Basel). 2021 May 6;21(9):3222. doi: 10.3390/s21093222.

DOI:10.3390/s21093222

PMID:34066509

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8124810/

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.

摘要

当今智慧城市的自动化策略依赖于大型物联网（IoT）系统，这些系统收集大数据分析以获取见解。尽管该领域最近有相关综述，但存在一个显著差距，即未涉及该问题的四个方面。具体而言，智慧城市中视频监控的应用、算法、数据集和嵌入式系统。在本文中，我们讨论了所使用的最新数据集、算法，以及为形成边缘视觉计算而在嵌入式系统方面的最新进展。此外，还探讨了未来趋势和挑战。