Object Tracking with Euclidean Distance (OpenCV)

This project demonstrates object tracking in a video using OpenCV and a simple Euclidean distance tracker.
It detects moving objects with background subtraction, assigns each object an ID, and tracks their movement frame by frame.

---

📌 Features

• Detects moving objects in a video using cv2.createBackgroundSubtractorMOG2.
• Tracks objects across frames using Euclidean distance between object centers.
• Assigns a unique ID to each detected object.
• Displays bounding boxes and IDs for each tracked object in the video.

---

🛠️ Requirements

• Python 3.x
• OpenCV (cv2)
• Math library (built-in)

Install OpenCV if you don’t have it:

pip install opencv-python