Pose estimation predicts anatomical keypoints (e.g., shoulders, elbows, knees) and connects them into a skeleton, revealing posture and motion rather than just “there’s a person here.” In 2026 it’s mature enough for real-time edge use, with top-down vs bottom-up multi-person pipelines, heatmap/SimCC-style localization, and standard evaluation via OKS-based AP.