A Survey of Video Surveillance Systems in Smart City

被引：15
|
作者：
Myagmar-Ochir, Yanjinlkham [1 ]
Kim, Wooseong [1 ]
机构：
[1] Gachon Univ, Comp Engn Dept, 1342, Seongnam, South Korea
来源：
ELECTRONICS | 2023年 / 12卷 / 17期
基金：
新加坡国家研究基金会;
关键词：
video surveillance system; smart city; video analysis; HUMAN ACTIVITY RECOGNITION; CONVOLUTIONAL NEURAL-NETWORKS; FIRE DETECTION; OBJECT TRACKING; MOVING-OBJECTS; EDGE-CLOUD; INTERNET; CLASSIFICATION; COMMUNICATION; SEQUENCES;
D O I：
10.3390/electronics12173567
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Smart cities are being developed worldwide with the use of technology to improve the quality of life of citizens and enhance their safety. Video surveillance is a key component of smart city infrastructure, as it involves the installation of cameras at strategic locations throughout the city for monitoring public spaces and providing real-time surveillance footage to law enforcement and other city representatives. Video surveillance systems have evolved rapidly in recent years, and are now integrated with advanced technologies like deep learning, blockchain, edge computing, and cloud computing. This study provides a comprehensive overview of video surveillance systems in smart cities, as well as the functions and challenges of those systems. The aim of this paper is to highlight the importance of video surveillance systems in smart cities and to provide insights into how they could be used to enhance safety, security, and the overall quality of life for citizens.
引用
收藏
页数：34
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