Hand Eztraction Using Geometric Moments Based on Active Skin Color Model
The hand gesture is the most common and natural way for human daily interaction. In this paper, we propose a novel approach to hand extraction based on active skin color model. The skin color model is first built by the non-linear transformation in YCbCr color space. Then the obtained model is applied to hand segmentation. Hand feature is extracted by calculating the seven moments of hand segmentation image. The experimental results demonstrate the feasibility of the proposed method.
hand gesture YCbCr skin color model geometric moments
Wenjun Tan Chengdong Wu Shuying Zhao Shuo Chen
School of Information Science and Engineering Northeastern University Shenyang,China
国际会议
上海
英文
2997-3000
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）