Crowd dynamics research in the era of Covid-19 pandemic: challenges and opportunities

M Haghani - Safety science, 2022 - Elsevier
With the issues of crowd control and physical distancing becoming central to disease
prevention measures, one would expect that crowd research should become a focus of …

Marine object detection using transformers

K Ali, M Moetesum, I Siddiqi… - 2022 19th International …, 2022 - ieeexplore.ieee.org
Underwater object detection is a challenging task due to low visibility and complex
background scenes. Although different CNN architectures have been proposed in the …

Convolutional neural network-based crowd detection for COVID-19 social distancing protocol from unmanned aerial vehicles onboard camera

LM Wastupranata, R Munir - Journal of Applied Remote …, 2023 - spiedigitallibrary.org
Social distancing is a feasible solution to break the chain of the spread of coronavirus
disease 2019 (COVID-19). A human crowd detection model was trained with a …

Real-Time Multi-Scale Pothole Detection using Transformer

A Bibi, K Ali, A Raza, S Kausar - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Potholes are a form of road damage characterized by hollow spaces that can lead to severe
traffic accidents and a reduction in road efficiency. Potholes on roads often cause accidents …

Social Distancing Violation Detection in Video Using ChessBoard and Bird's-eye Perspective

AC Tran, TH Ngo, HT Nguyen - … Conference on Future Data and Security …, 2022 - Springer
Thousands of infections, hundreds of deaths every day-these are numbers that speak the
current serious status, numbers that each of us is no longer unfamiliar with in the current …

Analysis of AI-Powered Human Detection Method for Social Distancing Monitoring

NASM Atfan, R Samad, NRH Abdullah… - … Conference on Electrical …, 2023 - Springer
Social distancing is a non-medical practice that helps slow down the transmission of viruses
which is suggested by the World Health Organization (WHO). However, as every country has …