An Improved Unscented Particle Filter for Visual Hand Tracking
文献类型：会议论文
| 作者 | Hanxuan Yang; Zhan Song; Runen Chen |
| 出版日期 | 2010 |
| 会议名称 | 2010 3rd International Congress on Image and Signal Processing, CISP 2010 |
| 英文摘要 | Hand tracking is an active research topic in Human Computer Interaction (HCI). In this paper, we present an improved Unscented Particle Filter (UPF) combined with the incremental Principle Component Analysis (IPCA) method for the visual hand tracking. The Singular Value Decomposition (SVD) approach is introduced to compute the sigma points and then to obtain the proposal distribution within the Unscented Kalman Filter (UKF) framework. The experiments are conducted on an indoor scene with complex background and the results are also compared with some traditional tracking methods to show its strong robustness and higher tracking precision |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2850]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2010 |
| 推荐引用方式 GB/T 7714 | Hanxuan Yang,Zhan Song,Runen Chen. An Improved Unscented Particle Filter for Visual Hand Tracking[C]. 见:2010 3rd International Congress on Image and Signal Processing, CISP 2010. |
入库方式： OAI收割
来源：深圳先进技术研究院
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