TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems
Bilel Benjdira, Anis Koubaa, Ahmad Taher Azar, Zahid Khan, Adel Ammar, Wadii Boulila
RIOTU Lab, Prince Sultan University, Saudi Arabia
Link to the paper: https://www.sciencedirect.com/science/article/abs/pii/S0952197622002408
Arxiv preprint: https://arxiv.org/abs/2303.00337
Science Cast video: https://sciencecast.org/casts/oq0mw5g7x39a
if you find our paper useful in your research, please cite:
@article{BENJDIRA2022105095,
title = {TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems},
journal = {Engineering Applications of Artificial Intelligence},
volume = {114},
pages = {105095},
year = {2022},
issn = {0952-1976},
doi = {https://doi.org/10.1016/j.engappai.2022.105095},
url = {https://www.sciencedirect.com/science/article/pii/S0952197622002408},
author = {Bilel Benjdira and Anis Koubaa and Ahmad Taher Azar and Zahid Khan and Adel Ammar and Wadii Boulila}}
We shared the source code for extracting 20 traffic insights using TAU. You can apply it on any UAV traffic video you want after generating the results.xslx file related to it.
At this stage, we did not share the code we used to process the UAV traffic video and generate the results.xlsx file.
For any enquiry, please contact bilel.benjdira_at_gmail.com and riotu_at_psu.edu.sa.
TAU Video Demonstration Link: https://youtu.be/wXJV0H7LviU
Video of the extracted histograms: https://www.youtube.com/watch?v=kGv0gmtVEbI
