Vehicle Tracking using OpenCV 🚗📹

This project uses OpenCV and Python to detect and track moving vehicles in a video using a Euclidean Distance Tracker. It simulates a basic object tracking system where each moving object (car/bike) is assigned a unique ID and tracked frame-by-frame on a highway.

🔍 What this project does:

• ✅ Detects moving vehicles in a video
• 🧠 Assigns a unique ID to each object
• 🔁 Tracks the object across frames using Euclidean distance
• 🎥 Shows live bounding boxes and object IDs
• 🧼 Ignores noise/small movements using contour area filtering

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🧠 How it works (Simple Explanation)

1. Background Subtraction:

   • Detects moving objects by comparing the current frame with previous frames.

2. Contour Detection:

   • Finds the shape outlines of moving objects.

3. Bounding Boxes:

   • Puts a rectangle around each detected object.

4. Euclidean Distance Tracker:

   • Measures how far each object moved to decide if it’s the same or a new object.
   • Assigns a unique ID to each object so it can be tracked.

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🧪 Technologies Used

• Python 🐍
• OpenCV (cv2)
• NumPy
• Basic Math (Euclidean distance)

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💻 How to Run the Project

1. Clone the repo:

   git clone https://github.com/YOUR-USERNAME/Vehicle-Tracking-OpenCV.git
   cd Vehicle-Tracking-OpenCV