Human Pose Estimation and Motion Capture

A group of related projects on extracting body posture and movement from video without wearable sensors.

The work covered 2D human pose estimation in unconstrained scenes, facial keypoint detection in video with a comparative evaluation of competing algorithms, multi-person body motion capture, monocular 3D pose estimation from a single camera, and 3D pose estimation from an eight-camera setup. One strand mapped estimated 2D poses onto a Blender rig to drive character animation, and the monocular system was developed towards a commercial version aimed at education.

These projects built practical experience with detecting and representing keypoints, posture, and movement from image sequences, which underpins behavioural AI systems that combine kinematic information with learned visual representations.