Abnormal activity recognition on surveillance: a review

V Pogadadanda, S Shaik, GVS Neeraj… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
Utilizing surveillance cameras to monitor public behaviour has become more important
recently for public safety at various sites due to a rise in crimes. Maintaining safety and …

[HTML][HTML] Multi-person tracking and crowd behavior detection via particles gradient motion descriptor and improved entropy classifier

F Abdullah, YY Ghadi, M Gochoo, A Jalal, K Kim - Entropy, 2021 - mdpi.com
To prevent disasters and to control and supervise crowds, automated video surveillance has
become indispensable. In today's complex and crowded environments, manual surveillance …

Real-time frequency-based detection of a panic behavior in human crowds

B Aldissi, H Ammar - Multimedia Tools and Applications, 2020 - Springer
The real-time detection of a panic behavior in a human crowd is of a high interest as it helps
alleviating crowd disasters and ensures that timely appropriate action will be taken …

Detecting abnormal fish behavior using motion trajectories in ubiquitous environments

O Anas, Y Wageeh, HED Mohamed, A Fadl… - Procedia Computer …, 2020 - Elsevier
Monitoring fish farms as controlling water quality and abnormal fish behaviors inside fish
pond are one of the most costly and difficult task to do for fish farmers. Fish farmers normally …

Intelligent Human Anomaly Identification and Classification in Crowded Scenes via Multi-fused Features and Restricted Boltzmann Machines

N Halim - Authorea Preprints, 2023 - techrxiv.org
With the advancement of technology and the breakthroughs of the modern era, accessing
and transforming that data into information is becoming a more complex task for the scientific …

Crowd Anomaly Detection in Public Surveillance via Spatio-temporal Descriptors and Zero-Shot Classifier

F Abdullah, M Javeed, A Jalal - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Anomaly detection has become an imperative defense line in public surveillance systems to
avert disasters and to monitor crowd behavior. In this paper, we proposed a robust anomaly …

Video Analysis to Recognize Unusual Crowd Behavior for Surveillance Systems: A Review

P Shreedevi, HS Mohana - Congress on Intelligent Systems, 2022 - Springer
In recent years, with increasing population growth and global urbanization, the crowd
phenomenon and surveillance has become a topic of active research. A crowd can give rise …

Detection of Abnormal Crowd Behavior Based on ViBE and Optical Flow Methods

X Zhao, J Chen, H Lin, Y Zhao, C Wei - Chinese Conference on Image …, 2022 - Springer
With the rapid development of computer vision and image processing technology, the
detection of abnormal behavior in video has gradually attracted more and more scholars' …

Review on real-time detection of a panic behavior in crowded scenes

B Aldissi, H Ammar - 2019 2nd International Conference on …, 2019 - ieeexplore.ieee.org
Due to the rapidly increasing number of requests from the surveillance and security
industries, detecting a panic behavior in human crowd have become an active research in …

Detection of Atypical Activities—A Review

G Malvika, S Sindhu - Artificial Intelligence Techniques for Advanced …, 2021 - Springer
Atypical activities are typically aberrations of scene entities (vehicles, human, animal
activities, or environment) from normal behavior. Abnormal activities include eve-teasing …