Real-Time 3D Hand Tracking from Depth Images

摘要：

　　In this paper,we propose a depth image based real-time 3D hand tracking method.Our method is based on the fact that human hand is an end point of human body.Therefore,we locate human hand by finding the end point from a predicted position of hand based on the hand position of the previous frame.We iteratively grow a region around the predicted position.The end point on the major axis of the region which stops moving with region growing is selected as the final position of human hand.Experiments on Microsoft Kinect for Xbox captured sequences show the effectiveness and efficiency of our proposed method.

关键词： Hand Tracking 3D Image Processing Depth Images Kinect Depth Image Segmentation

作者: Lin Song Ruimin Hu Yulian Xiao Liyu Gong

作者单位: National Engineering Research Center for Multimedia Software,Computer School, Wuhan University, Chin Eedoo Inc., China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Systems Engineering and Modeling(ICSEM-13)(2013年第二届系统工程与建模国际会议)

会议地点: 北京

会议语种:英文

页码: 1103-1106

在线出版日期: 2013-04-19（万方平台首次上网日期，不代表论文的发表时间）