A comprehensive review on deep learning-based methods for video anomaly detection

R Nayak, UC Pati, SK Das - Image and Vision Computing, 2021 - Elsevier
Video surveillance systems are popular and used in public places such as market places,
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …

A review of deep learning techniques for crowd behavior analysis

B Tyagi, S Nigam, R Singh - Archives of Computational Methods in …, 2022 - Springer
In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

[HTML][HTML] A new hybrid deep learning model for human action recognition

N Jaouedi, N Boujnah, MS Bouhlel - … of King Saud University-Computer and …, 2020 - Elsevier
Human behavior has been always an important factor in social communication. The human
activity and action recognition are all clues that facilitate the analysis of human behavior …

GPS spoofing detection and mitigation for drones using distributed radar tracking and fusion

B Pardhasaradhi, LR Cenkeramaddi - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In today's world, Global positioning system (GPS)-based navigation is inexpensive for
providing position, velocity, and time (PVT) information. GPS receivers are widely used on …

Abnormal behavior detection of students in the examination hall from surveillance videos

RM Alairaji, IA Aljazaery, HTHS ALRikabi - … Computational Paradigms and …, 2022 - Springer
Video analytic is a method of video processing, data collecting, and data analysis for
obtaining the information of a specific domain. In the recent trend, besides analyzing each …

[PDF][PDF] Automated cheating detection based on video surveillance in the examination classes

M Roa'a, IA Aljazaery, AHM Alaidi - iJIM, 2022 - lib.uowasit.edu.iq
A major issue in the field of education is exam malpractice and other forms of academic
dishonesty, where efforts made towards the assessment of students are undercut. In order to …

A study on video surveillance system for object detection and tracking

PK Mishra, GP Saroha - 2016 3rd international conference on …, 2016 - ieeexplore.ieee.org
Visual surveillance System is basically used for analysis and explanation of object
behaviors. It consists of static and moving object detection, video tracking to understand the …

A novel framework and concept-based semantic search Interface for abnormal crowd behaviour analysis in surveillance videos

E Hatirnaz, M Sah, C Direkoglu - Multimedia Tools and Applications, 2020 - Springer
Monitoring continuously captured surveillance videos is a challenging and time consuming
task. To assist this issue, a new framework is introduced that applies anomaly detection …

Towards building a visual behaviour analysis pipeline for suicide detection and prevention

X Li, S Onie, M Liang, M Larsen, A Sowmya - Sensors, 2022 - mdpi.com
Understanding human behaviours through video analysis has seen significant research
progress in recent years with the advancement of deep learning. This topic is of great …

An attention recurrent model for human cooperation detection

D Freire-Obregón, M Castrillón-Santana, P Barra… - Computer Vision and …, 2020 - Elsevier
User cooperative behaviour is mandatory and valuable to warranty data acquisition quality
in forensic biometrics. In the present paper, we consider human cooperative behaviour in …