A New Approach of Hand Tracking Based on Integrated Optical Flow Analyse

摘要：

In this paper, we focus on the hand tacking with a combinatorial restrained optical flow algorithm instead of the feature point. The movement region of hand is segmented and then searched for the target. A new template is used for hand target recognition on the segmented regions for detecting the ROI. Then optical flow is used to initialize step sizes in a stochastic optimization setting for hand tracking. For decrease the calculation cost, integrated additional information based on image sequence in an edge-based pose estimation computation is adopted as an accessorial instrument. The experimental results achieved show a more significative increase in the tracking speed than classical algorithms.

关键词： hand tracking optical flow template segment

作者: Zhou Hang Ruan Qiuqi Chen Houjin

作者单位: School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China Institute of Information Science, Beijing Jiaotong University, Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1194-1197

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）