RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds.
IEEE Access, 2025
RPEE-HEADS: A Novel Benchmark for Pedestrian Head Detection in Crowd Videos.
CoRR, 2024
A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos.
CoRR, 2023
A cloud-based deep learning system for improving crowd safety at event entrances.
CoRR, 2023
A Cloud-Based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances.
IEEE Access, 2023
A Hybrid Deep Learning and Visualization Framework for Pushing Behavior Detection in Pedestrian Dynamics.
Sensors, 2022
On the exploitation of GPS-based data for real-time visualisation of pedestrian dynamics in open environments.
Behav. Inf. Technol., 2022
A Fast Hybrid Deep Neural Network Model for pushing behavior detection in human crowds.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022
Enhanced Binary Cuckoo Search With Frequent Values and Rough Set Theory for Feature Selection.
IEEE Access, 2021