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Object Detection and Tracking System

Overview

A real-time Object Detection and Tracking System built using YOLOv8 and DeepSORT.

The system detects objects from a webcam feed and assigns unique tracking IDs to maintain object identities across frames.


Features

  • Real-time Object Detection
  • Real-time Object Tracking
  • YOLOv8 Integration
  • DeepSORT Tracking
  • FPS Counter
  • Object Counter
  • Video Recording
  • Webcam Support

Technologies Used

  • Python
  • OpenCV
  • YOLOv8
  • DeepSORT
  • NumPy

Installation

pip install -r requirements.txt

Run:

python object_tracking_final.py

Future Improvements

  • Multi-camera tracking
  • Face recognition integration
  • Streamlit deployment
  • Cloud deployment

Author

Anurag Sahu

About

Real-time multi-object tracking (MOT) pipeline integrating YOLOv8 and DeepSORT in Python. Features high-accuracy object detection, robust ID association, and seamless OpenCV video processing.

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