[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 …

Modified M‐RCNN approach for abandoned object detection in public places

RC Veluri, S Khan, SP Sankareswaran… - Expert …, 2025 - Wiley Online Library
Detection of abandoned and stationary objects like luggage, boxes, machinery, and so forth,
in public places is one of the challenging and critical tasks in the video surveillance system …

Detection of abandoned and stolen objects based on dual background model and mask R-CNN

H Park, S Park, Y Joo - IEEE Access, 2020 - ieeexplore.ieee.org
Dual background models have been widely used for detecting stationary objects in video
surveillance systems. However, there is a problem that both abandoned and stolen objects …

[HTML][HTML] Abandoned object detection in video-surveillance: survey and comparison

E Luna, JC San Miguel, D Ortego, JM Martínez - Sensors, 2018 - mdpi.com
During the last few years, abandoned object detection has emerged as a hot topic in the
video-surveillance community. As a consequence, a myriad of systems has been proposed …

Static object detection for video surveillance

YD Teja - Multimedia Tools and Applications, 2023 - Springer
One essential component of security systems at public locations, such as airports, bus stops,
train stations, marketplaces, etc., is the video surveillance. More powerful and efficient …

Ownership of abandoned object detection by integrating carried object recognition and context sensing

NS Russel, A Selvaraj - The Visual Computer, 2024 - Springer
Abandoned baggage poses a potential threat to public safety, which needs to be monitored
to avoid catastrophic effects. Identifying left baggage, the owner of the baggage, and the …

A hybrid approach to improve the video anomaly detection performance of pixel-and frame-based techniques using machine learning algorithms

H Tutar, A Güneş, M Zontul, Z Aslan - Computation, 2024 - mdpi.com
With the rapid development in technology in recent years, the use of cameras and the
production of video and image data have similarly increased. Therefore, there is a great …

[HTML][HTML] Robust detection of abandoned object for smart video surveillance in illumination changes

H Park, S Park, Y Joo - Sensors, 2019 - mdpi.com
Most existing abandoned object detection algorithms use foreground information generated
from background models. Detection using the background subtraction technique performs …

[HTML][HTML] Specific event detection for video surveillance using variational Bayesian inference

R Leyva, V Sanchez, CT Li, C Maple - Neurocomputing, 2024 - Elsevier
Although in recent years there has been a trend to incorporate data-driven models to
automate the task of video surveillance, there remains a shortage of learning-based …

NeoSGG: a scene graph generation framework for video-surveillance tasks

P Lefebvre, S Le Moal, A Azough, N Travers - EDBT'24, 2024 - hal.science
Video surveillance has developed considerably in the recent years. Analyzing the data
generated by such systems has become a major challenge. To address this issue, we …