Vehicle Speed Estimation and Traffic Tracking System Using Machine Learning

Authors

  • R Sai Chandu Department of Computer Science and Engineering, PACE Institute of Technology& Sciences, Vallur, Ongole, Andhra Pradesh, India Author
  • G Venkata Krishna Department of Computer Science and Engineering, PACE Institute of Technology& Sciences, Vallur, Ongole, Andhra Pradesh, India Author
  • T Karthik Department of Computer Science and Engineering, PACE Institute of Technology& Sciences, Vallur, Ongole, Andhra Pradesh, India Author
  • S K Firowz Department of Computer Science and Engineering, PACE Institute of Technology& Sciences, Vallur, Ongole, Andhra Pradesh, India Author
  • Jilani Basha Department of Computer Science and Engineering, PACE Institute of Technology& Sciences, Vallur, Ongole, Andhra Pradesh, India Author
  • K G S Venkatesan Department of Computer Science and Engineering, PACE Institute of Technology& Sciences, Vallur, Ongole, Andhra Pradesh, India Author

Keywords:

Speed Estimation, Traffic Camera, Feature Tracking, Vehicle Classification

Abstract

 In this work, we deploy a real-time  method for classifying vehicles and estimating their  speeds using footage captured by traffic cameras along  motorways. Basic techniques in traffic analysis include  the forecasting of traffic flows, the discovery of  anomalies, the re-identification of vehicles, and the  tracking of moving vehicles. One of the most actively  studied areas of these applications is traffic flow  prediction, often known as vehicle speed estimation. In  this work, we estimate vehicle speeds within classes using  feature tracking and neighbor discovery techniques. 

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References

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Published

2022-04-30

Issue

Vol. 9 No. 2 (2022): International Journal of Innovative Research in Engineering & Management (April )2022

Section

Articles

How to Cite

Vehicle Speed Estimation and Traffic Tracking System Using Machine Learning . (2022). International Journal of Innovative Research in Engineering & Management, 9(2), 661–666. Retrieved from https://acspublisher.com/journals/index.php/ijirem/article/view/11211