This project contains a Python script for tracking vehicles in a video and estimating their speed using the OpenCV and dlib libraries. This script reads a video, detects and tracks cars using Haar ...

For speed tracking, we apply quantum optimization techniques to refine the tracking of vehicle positions across consecutive frames, ensuring precise speed calculation. Using OpenCV for real-time video ...

Abstract: Moving Vehicle Detection with Real-Time Speed Estimation and Number Plate Detection using OpenCV and YOLO is a system that can be used to automatically detect vehicles in a video stream, ...

The project employs Python and OpenCV to detect vehicle speeds accurately through a systematic methodology. I start by acquiring video footage, defining regions of interest, and applying masking ...

Quantum based vehicle detection is the innovative integration of Quantum Machine Learning (QML) techniques with classical computer vision methods to enhance vehicle detection and speed tracking ...