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Real-Time Object Tracking System

This project implements a real-time object tracking system using Python and OpenCV. It enables efficient monitoring and surveillance in video streams, utilizing background subtraction, contour detection, and the Euclidean distance-based tracking algorithm.

Features

• Real-time object detection and tracking
• Background subtraction for foreground object extraction
• Contour detection for object localization
• Euclidean distance-based tracking algorithm for object tracking

Getting Started

Prerequisites

• Python 3.x
• OpenCV
• NumPy

Installation

1. Clone the repository:

[git clone https://github.com/your-username/real-time-object-tracking.git](https://github.com/Aditya-professional-life/Real-Time-Object-Tracking-System.git)

2. Install dependencies:

pip install -r requirements.txt

Usage

1. Run the main script:

python main.py

2. Provide the path to the video file when prompted.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any bugs or feature requests.

License

This project is licensed under the MIT License.

Acknowledgments

• This project was inspired by the need for efficient object tracking in surveillance systems.

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