A survey of AR systems and a case study of virtual keyboard based camera projector system
This paper introduces a real-time method for tracking hands through image sequences. Our method combines efficiently calculated color likelihood maps with a modified version of the Maximally Stable Extremal Region (MSER)tracker. The proposed algorithm allows to robustly track hands through image sequences and additionally provides accurate hand segmentations per frame. Experimental evaluation proves the high accuracy of the segmentation results and a first application for human-computer interaction is presented.