Draw hand and pose landmarks on live webcam feed
Upload and verify front, side, and back pose images
A visual scorer of two dance videos
ITS PRETTY
Showcasing Yolo, enabling human pose detection
Detect and highlight key joints in an image
Estimate and visualize 3D body poses from video
Generate dance pose video from aligned pose
Detect and annotate poses in images and videos
This app is used for Human pose Detection
Synthpose Markerless MoCap VitPose
Detect and label poses in real-time video
Using our method, given a support image and skeleton we can
Landmark Tracking is an AI-powered pose estimation tool that allows users to draw hand and pose landmarks on a live webcam feed. It provides real-time tracking and visualization of key points on the body, hands, or face, enabling applications in gesture recognition, fitness tracking, and more.
• Real-time Tracking: Processes video feed in real-time for immediate landmark detection.
• Multi-Mode Support: Capable of tracking hands, body, and face landmarks.
• Customizable Visualization: Users can adjust how landmarks are displayed.
• Cross-Platform Compatibility: Works on various operating systems.
• Lightweight Design: Optimized for low resource consumption.
• Integration Friendly: Can be embedded into larger applications.
What devices are supported by Landmark Tracking?
Landmark Tracking is compatible with most modern webcams and runs on Windows, macOS, and Linux systems.
Can I customize the appearance of landmarks?
Yes, users can adjust colors, sizes, and other visual properties of landmarks to suit their preferences.
Is Landmark Tracking suitable for real-time applications?
Absolutely! It is optimized for real-time performance, making it ideal for interactive and dynamic applications.