학술논문

Real-Time Human Detection for Intelligent Video Surveillance: An Empirical Research and In-depth Review of its Applications
Document Type
Review Paper
Source
SN Computer Science. 4(3)
Subject
Video surveillance system
CCTV
Human detection
Object detection
Object classification
Risks
Language
English
ISSN
2661-8907
Abstract
A more efficient technique to guarantee safety and security in a variety of settings is through video surveillance, also known as closed circuit television (CCTV). It is frequently employed in strategic sectors, including security at home, public transportation, banks, and ATMs’ hubs, commercial districts, airports, and public roadways, and it is crucial for safeguarding crucial infrastructures. Due to the numerous uses, human detection in surveillance system video scenes has therefore grown in prominence in recent years. Objects of interest should be able to be found, categorized, and tracked by a real-time video surveillance system. This study provides an in-depth analysis of such video surveillance systems and presents a full assessment of methods and data sets utilized in human (object) detection. The most significant analyses of these systems are provided along with the employed architectures. To provide a clearer image and a comprehensive overview of the system, existing surveillance systems were compared in terms of their features, advantages, and challenges. These comparisons are summarized in this document. Future trends are also examined, laying the groundwork for new study avenues.