This personal project focuses on human detection and tracking using computer vision techniques. The primary objective is to identify and track human subjects in video streams or sequences of images, with potential applications in surveillance, robotics, and more. The project utilizes popular deep learning models and libraries to achieve precise human detection and tracking.
- Human Detection: Identifies and localizes humans within images or video frames.
- Human Tracking: Tracks detected humans across multiple frames to maintain their identity.
- Real-time Processing: Designed for real-time operation with live video streams.
- Modular Design: Easily extendable with different detection and tracking algorithms.
- Visualization: Provides visual feedback with bounding boxes around detected humans and tracking paths.
git clone https://github.com/vankhoa21991/human-dettrack.git
cd human_dettrack
python -m venv venv
source venv/bin/activate
pip install -r requirements.txtPlease see dataset.md and quick_run.md for the basic usage.
Contributions are welcome! Feel free to fork the repository, make improvements, and submit pull requests. Please follow the Contributing Guidelines.
This project is licensed under the MIT License. See the LICENSE file for details.
If you have any questions or suggestions, please feel free to contact me:
Email: vankhoa21991@gmail.com GitHub: github.com/vankhoa21991 Thank you for your interest in this project! Happy coding! 🚀