摘要
介绍了一种基于单目视觉的肤色干扰下的变形手势跟踪方法。根据跟踪过程中所用到的基本手势特征,提出了一种基于PGH(成对几何直方图)的静态手势识别方法。为了解决跟踪过程中的肤色干扰问题,实现了基于Kalman滤波器的手势预测跟踪。为了解决跟踪过程中的初始化问题,提出了一种基于层次结构的跟踪初始化解决方案。实验结果表明,该方法能够在肤色干扰的情况下有效地对变形手势进行跟踪,并能够满足基于视觉的实时人机交互的要求。
This paper presents an approach of deformable hand gesture tracking with single camera under disturbances from skin-color.It proposes a method to recognize static hand gestures based on PGH.In order to solve the problem of disturbances from skin-color,it achieves a predictive tracking method based on Kalman filter.Moreover,it proposes a solution based on a hierarchical structure to solve the problem of tracking initialization.Experimental results show that the proposed method can track the deformable hand gesture under disturbances from skin-color effectively,and thus it can meet the requirements of real-time vision-based human-computer interaction.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第35期164-167,229,共5页
Computer Engineering and Applications
基金
国家重点基础研究发展规划(973)No.2009CB320804
国家自然科学基金No.U0735004,No.60673188
国家高技术研究发展计划(863)No.2008AA01Z303~~
关键词
变形手势
手势跟踪
手势识别
deformable hand gesture
hand tracking
gesture recognition
