Basic Object Detection using OpenCV

This repository contains code for basic object detection using OpenCV in Python. The code uses a simple background subtraction technique along with Euclidean distance-based tracking to detect and track objects in a video stream.

Prerequisites

Make sure you have the following dependencies installed:

• Python 3.x
• OpenCV
• NumPy

Vehicle Detection

Output

This script will use a pre-recorded video (highway2.mp4), apply background subtraction, detect objects, and track them using Euclidean distance.

Customization

You can modify the following parameters in the main.py script:

• ROI (Region of Interest): Adjust the ROI to focus on a specific area in the video frame.
• Thresholds: Modify the thresholds used in background subtraction and contour detection to improve object detection accuracy.
• Keybindings: Press 'ESC' to exit the application.

Acknowledgments

• Inspired by the OpenCV library.