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pose-estimation
Table of contents
Real-Time Pose Estimation for Augmented Reality Gaming
Description
This project leverages Computer Vision and Deep Learning to perform real-time pose estimation for augmented reality (AR) gaming. By tracking and analyzing human body movements, the system can enhance gaming experiences by enabling precise interactions with virtual environments.
Features:
- Detects and tracks key human body points (e.g., joints).
- Real-time processing for seamless integration into AR applications.
- High accuracy and efficiency using state-of-the-art models like OpenPose or Mediapipe.
- Customizable for gaming environments and fitness applications.
Tags
#PoseEstimation #ComputerVision #AugmentedReality #DeepLearning #Gaming
#RealTimeProcessing #AI #HumanPoseDetection #OpenPose #Mediapipe
Documentation
1. Prerequisites
Install necessary libraries:
pip install opencv-python mediapipe numpy matplotlib
2. Running the Project
- Clone the repository:
git clone https://github.com/bashitalishaikh/pose-estimation-ar-gaming.git - Navigate to the project folder:
cd pose-estimation-ar-gaming - Run the main script:
python pose_estimation.py
3. Key Components
- Pose Detection Module: Detects key points on the human body in real time.
- AR Integration Module: Maps body movements to AR game controls.
- Visualization: Displays pose estimation overlays on video input.
4. Models Used
- Mediapipe Pose: Lightweight and fast for real-time applications.
- OpenPose: High accuracy for detecting multiple poses.
Future Aspects
-
Enhanced Interactivity:
- Introduce gesture-based controls for AR games.
- Integrate voice commands for an immersive experience.
-
Scalability:
- Adapt for multiplayer environments.
- Extend for motion capture in fitness and healthcare.
-
Optimized Performance:
- Utilize GPU acceleration for faster processing.
- Develop mobile-friendly versions for AR gaming on smartphones.
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Application Domains:
- Fitness tracking and personalized workout recommendations.
- Virtual reality (VR) integration for immersive experiences.
Contribution
Feel free to open an issue or submit a pull request. Contributions are welcome!
Contact
Maintainer: [Your Name]
- Repository: GitHub Link
📊 RESULTS
| ⚽ Football Match | 🏏 Cricket Match | 📈 FPS & Time Comparison | 📡 Live Stream |
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🔗 References
- YOLOv7 Repo: https://github.com/WongKinYiu/yolov7
- Ultralytics: https://github.com/ultralytics/yolov5