An Incremental PCA-HOG Descriptor for Robust 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 | 6th International, Symposium on Visual Computing, ISVC 2010 |
| 英文摘要 | Hand tracking in complicate scenarios is a crucial step to any hand gesture recognition systems. In this paper, we present a novel hand tracking algorithm with adaptive hand appearance modeling. In the algorithm, the hand image is first transformed to the grids of Histograms of Oriented Gradients. And then an incremental Principle Component Analysis is implemented. We name this operator an incremental PCA-HOG (IPHOG) descriptor. The exploitation of this descriptor helps the tracker dealing with vast changing of hand appearances as well as clutter background. Moreover, Particle filter method with certain improvements is also introduced to establish a tracking framework. The experimental results are conducted on an indoor scene with clutter and dynamic background. And the results are also compared with some traditional tracking algorithms to show its strong robustness and higher tracking accuracy |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2851]  |
| 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 Incremental PCA-HOG Descriptor for Robust Visual Hand Tracking[C]. 见:6th International, Symposium on Visual Computing, ISVC 2010. |
入库方式： OAI收割
来源：深圳先进技术研究院
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