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| 基于Kinect的手势跟踪概述 | |
| 引用本文： | 刘佳,郑勇,张小瑞,偰冬慧,陆熊.基于Kinect的手势跟踪概述[J].计算机应用研究,2015,32(7). |
| 作者姓名： | 刘佳 郑勇 张小瑞 偰冬慧 陆熊 |
| 作者单位： | 1. 南京信息工程大学信息与控制学院,南京210044;南京信息工程大学江苏省大数据分析技术重点实验室,南京210044 2. 南京信息工程大学信息与控制学院,南京,210044 3. 南京航空航天大学自动化学院,南京,210016 |
| 基金项目： | 国家自然科学基金资助项目，江苏省自然科学基金资助项目，虚拟现实技术与系统国家重点实验室开放基金资助项目 |
| 摘 要： | 综述了当前基于Kinect手势跟踪的几种代表性方法:基于轮廓和特征匹配运动目标跟踪算法、均值漂移跟踪算法、连续自适应均值漂移跟踪算法、卡尔曼滤波跟踪算法以及粒子滤波跟踪算法,分析其特点及相互关系,详细探讨了各方法的优缺点.最后对手势跟踪发展趋势作出了展望. |
| 关 键 词： | Kinect 人机交互 手势跟踪 匹配搜索 粒子采样 |
| 收稿时间： | 2014/11/10 0:00:00 |
| 修稿时间： | 2015/5/20 0:00:00 |
The Overview of HandSGestureSTrackingSBased on Kinect |
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| LIU Jia,ZHENG Yong,ZHANG Xiaorui,XIE Donghui and luxiong.The Overview of HandSGestureSTrackingSBased on Kinect[J].Application Research of Computers,2015,32(7). | |
| Authors: | LIU Jia ZHENG Yong ZHANG Xiaorui XIE Donghui and luxiong |
| Affiliation: | School of Information and Control,Nanjing University of Information Science Technology,Jiangsu Nanjing,School of Information and Control,Nanjing University of Information Science Technology,Jiangsu Nanjing,School of Information and Control,Nanjing University of Information Science Technology,Jiangsu Nanjing,School of Information and Control,Nanjing University of Information Science Technology,Jiangsu Nanjing,School of Automation Engineering, Nanjing University of Aeronautics and Astronautics |
| Abstract: | Hand gesture tracking based on Kinect is a research hotspot in the field of human-computer interaction. The paper reviewed the current representatively algorithms of hand gesture tracking based on Kinect, namely moving target tracking algorithm based on contour and feature matching, mean shift tracking algorithm, continuous adaptive mean shift tracking algorithm, Kalman filter tracking and particle filter tracking algorithm, and analyzed their characteristics. Then the paper discussed the advantages, disadvantages carefully. Finally, the prospect on the development trends of hand gesture tracking is proposed. |
| Keywords: | Kinect human-computer interaction the tracking of hand gesture algorithm |
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