키넥트를 이용한 손 영역 검출의 정확도 개선

Abstract

Recently, the researches of object tracking and recognition using Microsoft’s Kinect are being actively studied. In this environment human hand detection and tracking is the most basic technique for human computer interaction. This paper proposes a method of improving the accuracy of the detected hand region’s boundary in the cluttered background. To do this, we combine the hand detection results using the skin color with the extracted depth image from Kinect. From the experimental results, we show that the proposed method increase the accuracy of the hand region detection than the method of detecting a hand region with a depth image only. If the proposed method is applied to the sign language or gesture recognition system it is expected to contribute much to accuracy improvement. 키워드 : 키넥트, 깊이영상, 손 영역 검출, 피부색 Key word : Kinect, Depth Image, Hand Region Detection, Skin Color Journal of the Korea Institute of Information and Communication Engineering 한국정보통신학회논문지(J. Korea Inst. Inf. Commun. Eng.) Vol. 18, No. 11 : 2727~2732 Nov. 2014