Crowd monitoring and localization using deep convolutional neural network: A review

A Khan, J Ali Shah, K Kadir, W Albattah, F Khan - Applied Sciences, 2020 - mdpi.com
Crowd management and monitoring is crucial for maintaining public safety and is an
important research topic. Developing a robust crowd monitoring system (CMS) is a …

Device-free crowd counting using multi-link Wi-Fi CSI descriptors in Doppler spectrum

RF Brena, E Escudero, C Vargas-Rosales… - Electronics, 2021 - mdpi.com
Measuring the quantity of people in a given space has many applications, ranging from
marketing to safety. A family of novel approaches to measuring crowd size relies on …

Scale-aware CNN for crowd density estimation and crowd behavior analysis

VK Sharma, RN Mir, C Singh - Computers and Electrical Engineering, 2023 - Elsevier
Visual surveillance is a highly demanded system in various real-time applications for civil
and military sectors. For huge gatherings such as rallies and stadiums, crowd monitoring …

DGG: a novel framework for crowd gathering detection

J Xu, H Zhao, W Min, Y Zou, Q Fu - Electronics, 2021 - mdpi.com
Crowd gathering detection plays an important role in security supervision of public areas.
Existing image-processing-based methods are not robust for complex scenes, and deep …

Crowd counting and abnormal behavior detection via multiscale GAN network combined with deep optical flow

B Song, R Sheng - Mathematical Problems in Engineering, 2020 - Wiley Online Library
Aiming at the problem of low performance of crowd abnormal behavior detection caused by
complex backgrounds and occlusions, this paper proposes a single‐image crowd counting …

Deep Learning for Violence Detection in Surveillance: The Role of Transfer Learning and Pre-Trained Models

A Ilyas, S Obaid, NZ Bawany - 2023 24th International Arab …, 2023 - ieeexplore.ieee.org
In recent years, the use of CCTV footage for proactive crime prevention has surged,
particularly in public places like airports, train stations, and malls. However, the efficacy of …

Crowd dynamics analysis and behavior recognition in surveillance videos based on deep learning

A Ilyas, N Bawany - Multimedia Tools and Applications, 2024 - Springer
Video surveillance is widely adopted across various sectors for purposes such as law
enforcement, COVID-19 isolation monitoring, and analyzing crowds for potential threats like …

Global event influence model: integrating crowd motion and social psychology for global anomaly detection in dense crowds

L Pan, H Zhou, Y Liu, M Wang - Journal of Electronic Imaging, 2019 - spiedigitallibrary.org
Crowd motions usually play a basic role of analyzing and understanding abnormal events.
However, only using these visible features cannot fully describe the scenarios because the …

[PDF][PDF] Motion Pattern Based Anomalous Pedestrian Activity Detection

KO Hajari, UH Gawande, Y Golhar - International Journal of Image …, 2022 - mecs-press.org
In this paper, an efficient technique for anomalous pedestrian activity detection in the
academic institution is proposed. At the pixel and block levels, the proposed method elicits …

Moving Image Interpretation Models to Support City Analysis

SH Supangkat, FF Lubis - … on ICT for Smart Society (ICISS), 2018 - ieeexplore.ieee.org
Urban environmental monitoring is an important thing in the implementation of Smart city
because it provides a sense of security for its citizens. Closed Circuit Television (CCTV) is …