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.

Action recognition is a computer vision task aimed at identifying human actions in visual data, using machine learning techniques to analyze motion and appearance patterns. This field is distinct from traditional classification, focusing on temporal dynamics in videos and has applications in surveillance, healthcare, sports analysis, and more.