human pose estimation

Skeleton-Based Pose Estimation of Human Figures Lakulish Antani Master's Thesis, IIT Bombay, 2008 We describe a model-based pose estimation algorithm that combines top-down and bottomup approaches in a simple manner. We describe a bottom-up part detector based on the skeleton transform, and a skeleton computation pipeline that uses existing algorithms for computing a pruned skeleton transform of any image. We describe a top-down pose estimation algorithm based on pictorial structures which we combine with the skeleton-based part detector. We also describe a way of imposing a structure on the space of candidate parts by computing a hierarchy between skeleton fragments, and use this structure to facilitate pose estimation. We compare our pose estimation algorithm with the classic pictorial structures algorithm, and compare our skeleton-based part detector with another edge-based part detector, and provide ideas for improving our method. Thesis Slides