Aerial Traffic Statistics Based on YOLOv5+DeepSORT

Authors

  • Wei Liu
  • Lin Zhang

DOI:

https://doi.org/10.54097/ajst.v3i3.2981

Keywords:

Traffic Flow Statistics, Intelligent Traffic System, YOLOv5, DeepSORT, Aerial Drone Photography.

Abstract

 Traffic flow statistics, as an important part of intelligent transportation system, usually requires manual statistics, which is time-consuming and labor-intensive. In order to save manual labor and improve the statistical efficiency, this paper is based on the strategy of YOLOv5+DeepSORT to count the aerial traffic flow by UAV, and the results show that the statistical accuracy of this method is close to that of manual statistics, which has high practical value.

References

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Published

22 November 2022

How to Cite

Liu, W., & Zhang, L. (2022). Aerial Traffic Statistics Based on YOLOv5+DeepSORT. Academic Journal of Science and Technology, 3(3), 198–201. https://doi.org/10.54097/ajst.v3i3.2981

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Section

Articles