Real-Time Object Detection and Tracking

Project Overview

This project performs real-time object detection and tracking using YOLOv8 and SORT.

Features

• Object detection using YOLOv8
• Real-time tracking using SORT
• Bounding boxes around detected objects
• Unique tracking IDs for each object
• Video processing with OpenCV

Technologies Used

• Python
• OpenCV
• YOLOv8
• SORT
• NumPy

Project Structure

object-detection-and-tracking/ │ ├── object_detection_and_tracking.ipynb ├── tracked_output.mp4 ├── requirements.txt └── README.md

How to Run

1. Install dependencies: pip install -r requirements.txt

2. Run the notebook in Google Colab.

Output

The system detects and tracks objects with unique IDs and saves the processed video.

Project Screenshots

Object Detection Result

Tracking Result

Author

Sri Priyanka S