How to Run Real-Time Pose Estimation with Ultralytics YOLO26 | Tracking & Keypoints Extraction 🕺

Pose estimation enables computer vision systems to understand human body motion by detecting keypoints, such as joints and limbs. In this tutorial, we explore how to perform pose estimation using Ultralytics YOLO26 and run it directly in Python. We start with a quick introduction to pose estimation and demonstrate how to run YOLO26 pose inference on video input. Then we extend the pipeline by combining pose estimation with object tracking, enabling consistent object tracking across frames. You’ll also learn how to extract pose keypoints programmatically, enabling applications such as fitness analysis, activity recognition, sports analytics, and behavior monitoring. Chapters: 00:00 - Introduction to pose estimation 01:09 - Pose estimation code walkthrough 02:07 - YOLO26 pose estimation demo 03:08 - Combining pose estimation with object tracking 03:53 - Extracting pose keypoints from results 04:18 - Pose estimation with tracking on additional videos 05:56 - Summary 🔗 Read more about pose estimation ➡️ https://docs.ultralytics.com/tasks/pose/ 🔗 Code (used in the video) ➡️ https://drive.google.com/file/d/1Novp... Ultralytics Resources: 🏢 About Us: https://ultralytics.com/about 💼 Join Our Team: https://ultralytics.com/work 📞 Contact Us: https://ultralytics.com/contact 💬 Discord Community:   / discord   📄 Ultralytics License: https://ultralytics.com/license #yolo26 #poseestimation#computervision #humanpose #visionai #objecttracking #ultralytics