Published August 17, 2023
| Version V1.0.4
Software
Open
DL4PuDe: A hybrid framework of deep learning and visualization for pushing behavior detection in pedestrian dynamics
- 1. Institute for Advanced Simulation, Forschungszentrum Jülich, 52425, Germany
- 2. Information Technology Department, Faculty of Engineering and Information Technology, Arab American University, P.O Box 240, Palestine
Description
The framework automatically detects pushing behavior from videos of crowded event entrances.
Notes
If you use this software, please cite it as below.
Files
PedestrianDynamics/DL4PuDe-V1.0.4.zip
Files
(203.7 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/PedestrianDynamics/DL4PuDe/tree/V1.0.4 (URL)
References
- Alia, Ahmed, Mohammed Maree, and Mohcine Chraibi. "A hybrid deep learning and visualization framework for pushing behavior detection in pedestrian dynamics." Sensors 22.11 (2022): 4040.
Subjects
- 10.3390/s22114040