Gesture recognition using colored gloves

This paper proposes a method to recognize hand gestures from a monocular image. We use colored gloves to detect specific region of hand easily. By using this method, we can treat easily the occlusion problem due to color information. Hand gesture are recognized by the decision tree made from the image features automatically by our proposed method. There are another pattern recognition methods using image features like nearest-neighbor method. But it is better for computation time to use the decision tree because the decision tree uses only few selected important features. In this paper, we show a learning result by the CAD model and recognition results in real images by our proposed method