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RT-VC: AN EFFICIENT REAL-TIME VEHICLE COUNTING APPROACH

                                                                                                                                                                                                                                                                                                                                                                                                                                                                        
https://sites.google.com/a/yu.edu.jo/raedmalkhatib/_/rsrc/1551959181857/home/vehicle-counting/rt-vc.png 





RT-VC: AN EFFICIENT REAL-TIME VEHICLE COUNTING APPROACH
 1Salah Alghyaline, 2Nidhal Kamel Taha El-Omari, 3Ra'ed M. Al-Khatib, 4Hesham Y. Al-Kharbshh
1Department of Computer Science, Faculty of Information Technology, The World Islamic Sciences and Education University, Amman – Jordan. Email: salah.alghyaline@wise.edu.jo
2Department of Software Engineering, Faculty of Information Technology, The World Islamic Sciences and Education University, Amman – Jordan. E-mail: nidhal.omari@wise.edu.jo
3Department of Computer Sciences, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid-21163, Jordan. E-mail: raed.m.alkhatib@yu.edu.jo
4Department of Software Engineering, Faculty of Information Technology, The World Islamic Sciences and Education University, Amman – Jordan. E-mail: hesham.alkharabsheh@wise.edu.jo

 
 
Welcome to RT-VC approach for Vehicle Counting problem:
1- You can see the Datasets of our RT-VC approach in attached file named (  ).

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2- You can also download the new six videos from ( https://ceit.aut.ac.ir/~safa/Traffic%20Dataset%20(Kamkar-Safabakhsh).rar ), which are used previously in the experiments Kamkar and Safabakhsh [1] method, and Rashid et al. [2] methods.

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video3.mp4video3.mp4
Sunny-Noon1.mp4Sunny-Noon1.mp4
How to Cite our RT-VC approach: