🧘 Pose Estimation Simulator
Track human body movement with keypoint detection and skeleton tracking
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0 / 5 completedIntroduction to Pose Estimation
🎯 What is Pose Estimation?
Pose estimation is a computer vision technique that detects and tracks human body keypoints in images or videos. It identifies joint positions (shoulders, elbows, knees, etc.) and creates a skeleton representation of the human body for motion analysis and tracking.
Modern pose estimation models can detect 17+ keypoints in real-time, enabling applications from fitness tracking to motion capture for games.
Analyze athlete movements, improve form, and prevent injuries
Motion capture for games, virtual try-ons, and AR filters
Physical therapy monitoring and gait analysis
🔍 How It Works
Feed image or video frame to the model
Locate humans in the image using object detection
Identify body joint positions with confidence scores
Connect keypoints to form body skeleton structure
🎯 Single-Person Pose
Assumes one person per image. Faster and simpler, ideal for controlled environments.
👥 Multi-Person Pose
Detects multiple people simultaneously. More complex but handles crowded scenes.
📊 Common Keypoint Standards
COCO (17 keypoints)
Nose, eyes, ears, shoulders, elbows, wrists, hips, knees, ankles
MPII (16 keypoints)
Head, neck, shoulders, elbows, wrists, hips, knees, ankles