[Project] Camera-based Road Traffic Monitoring

October 2013 - August 2014

Target Audience: Intelligent Transportation Systems (ITS) Research Community

Affiliation: Independent Research Initiative

  • Video Processing: designed to analyze live or recorded traffic monitoring camera feeds to accurately identify and track moving vehicles.
  • Frame Differencing Algorithm: based on pixel-level subtraction techniques to isolate moving vehicles from static background environments.
  • Traffic Flow Estimation: dynamically counts passing vehicles and calculates density metrics, providing key data streams to optimize urban traffic management.
  • Optimized Architecture: designed using native programming paradigms to minimize latency and ensure high-throughput processing of video streams.
  • 💡 Stack: C++, OpenCV
A. Tourani and A. Shahbahrami, Vehicle Counting Method based on Digital Image Processing Algorithms, 2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA), Rasht, Iran, 2015, pp. 1-6, DOI: 10.1109/PRIA.2015.7161621.