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Published April 10, 2022 | Version V1.0.2
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-V1.0.2.zip

Files (203.6 MB)

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