We detect the vehicles by using Background elimination and track them in each frame. With this approach, we can detect a variety of vehicles even pedestrians and bikes in complex conditions. Our approach is simple that needs to be improved to work robustly.
Course project: Intelligent Transport System (lecturer: Vu Dinh Long)
Implemented: Python 3.6 and Open-CV v4.1.1
OS: Ubuntu 18.04 LTS
Location: Pedestrian Bridge at Nguyen Van Cu street in District 5, HCMC, Vietnam