I-TVS: Instantaneous-Traffic Violation Surveillance System Using Machine Learning

N Lokhande, S Ahirrao, S Dhamale… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
As the world rapidly modernizes, the progressive path lies in adopting smarter technologies
for smart nations. In the present day, there is a widespread obsession with real-time …

Current status and future directions for crowd management using machine learning

M Suthar, S Sharma, S Kumar - … of the 5th International Conference on …, 2023 - dl.acm.org
Crowd management is a critical aspect of public safety and efficient space utilization in
areas with high pedestrian traffic such as urban centers, sports stadiums, transportation …

[PDF][PDF] Campus Surveillance with Violence Insight and Suspect Profiling: A Survey.

NR Deepak, SK Paital, U Kulsum, S Afreen, S Verma - SCI, 2024 - ceur-ws.org
Campus safety is a paramount concern in educational institutions worldwide, especially in
combating the prevalence of campus violence. This comprehensive review utilizes …

[HTML][HTML] PASS-CCTV: Proactive Anomaly surveillance system for CCTV footage analysis in adverse environmental conditions

H Jeon, H Kim, D Kim, J Kim - Expert Systems with Applications, 2024 - Elsevier
In recent decades, the growing deployment of Closed-Circuit Television (CCTV) systems for
crime prevention and facility security has accelerated the importance of intelligent …

Video analytics for visual surveillance and applications: An overview and survey

IE Olatunji, CH Cheng - … Learning Paradigms: Applications of Learning and …, 2019 - Springer
Owing to the massive amount of video data being generated as a result of high proliferation
of surveillance cameras, the manpower to monitor such system is relatively expensive …

IoT-based smart surveillance: Role of sensor data analytics and mobile crowd sensing in crowd behavior analysis

SM Thampi, EB Varghese - Crowd Assisted Networking and …, 2018 - taylorfrancis.com
This chapter provides an extensive review of the various analytics methods from video as
well as sensor data for Internet of Things (IoT)-based smart surveillance. It discusses the …

Suspicious Human Crowd Behaviour Detection-A Transfer Learning Approach

P Liyanage, P Fernando - … Conference on Advances in ICT for …, 2021 - ieeexplore.ieee.org
Video surveillance systems play an important role in the public security sector. These
systems are used to detect a variety of activities such as suspicious human behaviours …

Violence Detection From Industrial Surveillance Videos Using Deep Learning

H Khan - 2023 - search.proquest.com
The integration of Internet of Things (IoT) technology in industrial surveillance and the
proliferation of surveillance cameras in smart cities has empowered the development of real …

A Framework for Real-Time Crowd Behaviour Monitoring System Based on Human Activity Recognition in Surveillance Videos

RS Perumal, PM Janarthanan, T Keerthiharan… - Smart Trends in … - books.google.com
Abstract Data from India's National Crime Records Bureau (NCRB) show that crime rates are
rising, which poses a serious threat to social safety and economic stability. Although overall …

Recent advances in video analytics for rail network surveillance for security, trespass and suicide prevention—A survey

T Zhang, W Aftab, L Mihaylova, C Langran-Wheeler… - Sensors, 2022 - mdpi.com
Railway networks systems are by design open and accessible to people, but this presents
challenges in the prevention of events such as terrorism, trespass, and suicide fatalities …