View-invariant Action Recognition Using Cross Ratios Across Frames
文献类型：会议论文
| 作者 | Yeyin Zhang; Kaiqi Huang ; Yongzhen Huang; Tieniu Tan
|
| 出版日期 | 2009 |
| 会议日期 | 2009 |
| 会议地点 | Cairo, Egypt |
| 关键词 | Computational Geometry gesture Recognition image Classification |
| 页码 | 3549--3552 |
| 英文摘要 | We present a new method of computing invariants in videos captured from different views to achieve view-invariant action recognition. To avoid the constraints of collinearity or coplanarity of image points for constructing invariants, we consider several neighboring frames to compute cross ratios, namely cross ratios across frames (CRAF), as our invariant representation of action. For every five points sampled with different intervals from the trajectories of action, we construct a pair of cross ratios (CRs). Afterwards, we transform the CRs to histograms as the feature vectors for classification. Experimental results demonstrate that the proposed method outperforms the state-of-the-art methods in effectiveness and stability. |
| 会议录 | IEEE International Conference on Image Processing, 2009
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12707]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Kaiqi Huang |
| 作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Yeyin Zhang,Kaiqi Huang,Yongzhen Huang,et al. View-invariant Action Recognition Using Cross Ratios Across Frames[C]. 见:. Cairo, Egypt. 2009. |
入库方式： OAI收割
来源：自动化研究所
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