Fusion of Skin Color Detection and Background Subtraction for Hand Gesture Segmentation

Hand gestures play a significant role in Human Computer Interaction. They serve as primary interaction tools for gesture based computer control. The present work is a part of vision based hand gesture recognition system for Human Computer Interaction. We have proposed an algorithm with the fusion of skin color model and background subtraction that yields robust output in the presence of drastic illumination changes. This paper compares methodologies of various hand segmentation approaches for gesture recognition systems. This study is merely a first step towards development of a reliable efficient robust gesture recognition system with high detection rate.