Real-Time Vehicle Tracking

EasyChair Preprint 15868

Abstract

This paper introduces an advanced vehicle detection system focused on real-time tracking and counting of cars, buses, and trucks using OpenCV and the YOLOV8 model.

The system offers a versatile solution for urban traffic management, emphasizing efficiency and accuracy. Leveraging cutting-edge computer vision technologies, it provides instantaneous identification and tracking of diverse vehicle classes.

The integration of the CV zone library enhances the user interface, allowing for interactive visualization of object tracking and directional counting.

Beyond traditional car detection, the system's applications extend to smart traffic management, parking space monitoring, and security surveillance. This project stands as a beacon for creating safer and more efficient urban environments.

Keyphrases: CVzone library, OpenCV, Real-time tracking, Traffic Management, YOLOv8 model, computer vision, urban environments, vehicle detection

@booklet{EasyChair:15868,
  author    = {S Harish Nataraj and K Balaji and V Hariram},
  title     = {Real-Time Vehicle Tracking},
  howpublished = {EasyChair Preprint 15868},
  year      = {EasyChair, 2025}}