[HTML][HTML] Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G Sreenu, S Durai - Journal of Big Data, 2019 - Springer
Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

A review of building occupancy measurement systems

K Sun, Q Zhao, J Zou - Energy and Buildings, 2020 - Elsevier
The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

IoT-based smart healthcare video surveillance system using edge computing

R Rajavel, SK Ravichandran, K Harimoorthy… - Journal of ambient …, 2022 - Springer
Managing distributed smart surveillance system is identified as a major challenging issue
due to its comprehensive aggregation and analysis of video information on the cloud. In …

A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets

GF Shidik, E Noersasongko, A Nugraha… - IEEE …, 2019 - ieeexplore.ieee.org
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

Region-of-interest based video coding strategy for rate/energy-constrained smart surveillance systems using WMSNs

A Aliouat, N Kouadria, M Maimour, S Harize… - Ad Hoc Networks, 2023 - Elsevier
Video surveillance systems that involve embedded visual sensor nodes have significant
constraints due to their limited energy sources. Reducing the power consumption of the in …

[HTML][HTML] 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 …

A framework for occupancy prediction based on image information fusion and machine learning

Y Yang, Y Yuan, T Pan, X Zang, G Liu - Building and Environment, 2022 - Elsevier
It is of great energy-saving significance to provide accurate occupancy schedules for
building energy simulation. Inaccurate occupancy information can lead to biased results …

[HTML][HTML] Video anomaly detection system using deep convolutional and recurrent models

M Qasim, E Verdu - Results in Engineering, 2023 - Elsevier
Automatic identification of anomalies in video surveillance is an interesting research field.
Even though interactive multimedia anomaly detection algorithms have been developed, it is …

Anomaly analysis in images and videos: A comprehensive review

TM Tran, TN Vu, ND Vo, TV Nguyen… - ACM Computing …, 2022 - dl.acm.org
Anomaly analysis is an important component of any surveillance system. In recent years, it
has drawn the attention of the computer vision and machine learning communities. In this …

[HTML][HTML] A survey of video surveillance systems in smart city

Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
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 …