Sign Language Motion Tracking and Generating 3D Motion Pieces Using 2D Features

In this study we designed a system that can track 3D motion and generate new pieces of motion, using a stereo camera setup. A dataset from some expressions of Turkish sign language is built using markers. In order to find the center of the markers and track their coordinates the correspondence problem had to be solved. Results of newly proposed marker detection and tracking algorithms are compared. Finally, following the scale normalization, the trajectories are modelled using Hidden Markov Models (HMM). Using these models, new signs are generated.