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Author: abualia4

README.md

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 <img src="./files/snakemotion.jpg" width="300px"/>
 
 
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 ## The Architecture of `DL4PuDe`
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 Alia, Ahmed, Mohammed Maree, and Mohcine Chraibi. 2022. "A Hybrid Deep Learning and Visualization Framework for Pushing Behavior Detection in Pedestrian Dynamics" Sensors 22, no. 11: 4040. 
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 ## Acknowledgments
 * This work was funded by the German Federal Ministry of Education and Research (BMBF: funding number 01DH16027) within the Palestinian-German Science Bridge project framework, and partially by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—491111487.
 
+* Thanks to the Forschungszentrum Juelich, Institute for Advanced Simulation-7, for making the Pedestrian Dynamics Data Archive publicly accessible under the CC Attribution 4.0 International license.
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+* Thanks to Anna Sieben, Helena Lügering, and Ezel Üsten for developing the rating system and annotating the pushing behavior in the video experiments.
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 * Thanks to the authors of the paper titled ``RAFT: Recurrent All Pairs Field Transforms for Optical Flow'' for making the RAFT source code available.