Dynamic Hand Gesture Recognition Using Motion Trajectories and Key Frames

摘要：

In this paper, we address the problem of dynanuc hand gesture recognihon from unaided video sequences. We present a novel approach based on motion trajectories of hands and hand shapes of the key frames. Firstly, the hand area is segmented by active skin color model. Then the hand motion trajectories are extracted with dynamic time warping(DTW) algorithm and the key frame of video sequences is computed by frames difference. The hand gesture of the key frame is considered as a static hand gesture. The feature of hand shape is represented witb Fourier descriptor and recognized by neural network. The combined method of the motion trajectories and key frame is presented to recognize the dynamic hand gesture from unaided video sequences. Experimental results show that the proposed approach is capable of effectively recognizing the dynamic hand gesture.

关键词： dynamic hand gesture dynamic time warping shppe descriptor key frame

作者: Tan Wenjun Wu Chengdong Zhao Shuying Jiang Li

作者单位: School of information science and engineering Northeastern university Shenyang,China,110004 School of information science and engineering Heilongjiang bayi agricultural university Daqing, Chin

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 163-167

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）