[Project] Vehicle Detection & Tracking
September 2018 - March 2019
Target Audience: Intelligent Transportation Systems (ITS) & Smart City Authorities, Rasht, Iran
Affiliation: M.Sc. Research Project (University of Guilan) & Post-Graduation Grant (GSTP Funded)
Project Ecosystem: GitHub | Paper#1
- Robust Vehicle Detection: using Faster R-CNN to achieve accurate localized bounding boxes for multi-class vehicles.
- Accurate Feature Extraction: isolates intricate visual features of targets directly from roadway camera streams, with precise tracking across varied environmental conditions.
- Funded Commercial Validation: recognized for its scientific robustness and real-world applicability, earning competitive research backing from the Guilan Science and Technology Park (GSTP).
- 💡 Stack: Python, MATLAB
A. Tourani, S. Soroori, A. Shahbahrami, S. Khazaee, and A. Akoushideh,
"A Robust Vehicle Detection Approach based on Faster R-CNN Algorithm,"
4th International Conference on Pattern Recognition and Image Analysis (IPRIA), pp.
119-123, Tehran, Iran, 2019.
DOI: 10.1109/PRIA.2019.8785988
DOI: 10.1109/PRIA.2019.8785988