[PDF][PDF] Big Brother walks into an office…

N Wouters - Artificial Intelligence for Better or Worse. Future …, 2019 - questions.com.au
A 300% increase in three years; from 200 million in 2017 to 626 million in 2020. This
astounding number is the most recent prediction for the total number of surveillance …

Agile-LSTM: Acclimatizing Convolution Neural Network for Crowd Behaviour Analysis

AK Mishra, P Singh - Soft Computing and Signal Processing: Proceedings …, 2022 - Springer
Crowd behaviour analysis forms a central basis for having peaceful event organization, with
a minimum calamitous situation in the place of public congregation. Conventionally, the …

Anomaly based camera prioritization in large scale surveillance networks

A Hussain, H Ullah, A Ullah, AS Imran, M Lee, S Rho… - 2021 - ntnuopen.ntnu.no
Digital surveillance systems are ubiquitous and continuously generate massive amounts of
data, and manual monitoring is required in order to recognise human activities in public …

[PDF][PDF] ADVANCING REAL-TIME VIDEO VIOLENCE DETECTION: A DEEP LEARNING APPROACH WITH INTEGRATED TELEGRAM ALERTING

I RAHIL, W BOUARIFI, O MUSTAPHA… - Journal of Theoretical …, 2023 - jatit.org
In today's security and monitoring landscape, remote surveillance has become a
cornerstone. However, its conventional role as a passive historical event recorder has …

Diamond sentry: Integrating sensors and cameras for real-time monitoring of indoor spaces

P Turaga, YA Ivanov - IEEE Sensors Journal, 2010 - ieeexplore.ieee.org
Video-based surveillance and monitoring of indoor spaces such as offices, airports and
convenience stores has attracted increasing interest in recent years. While video proves …

[HTML][HTML] Deep-Learning-Based Action and Trajectory Analysis for Museum Security Videos

C Di Maio, G Nunziati, A Mecocci - Electronics, 2024 - mdpi.com
Recent advancements in deep learning and video analysis, combined with the efficiency of
contemporary computational resources, have catalyzed the development of advanced real …

Detecting criminal activities and promoting safety using deep learning

R Mathur, T Chintala… - … international conference on …, 2022 - ieeexplore.ieee.org
Automation and autonomous systems are among the few powerhouses of innovation that
drive entire domains towards advancing further in leaps and bounds. Great technological …

[HTML][HTML] ICE-MoCha: intelligent crowd engineering using mobility characterization and analytics

A Jabbari, KJ Almalki, BY Choi, S Song - Sensors, 2019 - mdpi.com
Human injuries and casualties at entertaining, religious, or political crowd events often occur
due to the lack of proper crowd safety management. For instance, for a large scale moving …

Artificial intelligence enabled automatic traffic monitoring system

V Mandal - 2019 - search.proquest.com
The rapid advancement in the field of machine learning and high-performance computing
have highly augmented the scope of video-based traffic monitoring systems. In this study, an …

Video based crowd abnormal behavior detection

N Liu, X Ma, P Yang, W Liu - Proceedings of the 2023 5th International …, 2023 - dl.acm.org
Public places where crowds gather are considered hotspots for abnormal incidents. Rapid
detection of abnormal behavior through video surveillance is crucial for maintaining public …