What is Markerless Motion Capture?
TL;DR
Capturing 3D human motion using only camera footage and AI pose estimation, without reflective markers.
Markerless Motion Capture: Definition & Explanation
Markerless motion capture measures human motion in 3D using only ordinary camera footage and AI pose estimation, without attaching reflective markers or special suits as traditional systems require. Deep-learning pose-estimation models infer joint positions and bone angles from footage and reconstruct a 3D skeleton from multi-view or even single (monocular) video. The breakthrough is that expensive studio rigs are no longer needed — a single phone can analyze an athlete's form or assess rehab. Applications are broad: swing analysis in golf, baseball, and tennis; running-form assessment; physical therapy and orthopedic rehab; motion capture for dance and acting; and animation for games and film. It's the core technology behind Sportsbox AI and many sports-analysis apps, democratizing digital twins (a virtual recreation of the body) and biomechanics analysis. Challenges include accuracy with hidden joints (occlusion) and fast motion, and dependence on the filming environment (lighting and angle).