CASIA OpenIR  > 智能感知与计算研究中心
View-invariant Action Recognition Using Cross Ratios Across Frames
Yeyin Zhang; Kaiqi Huang; Yongzhen Huang; Tieniu Tan
2009
Conference NameInternational Conference on Image Processing
Source PublicationIEEE International Conference on Image Processing, 2009
Pages3549--3552
Conference Date2009
Conference PlaceCairo, Egypt
AbstractWe 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.
KeywordComputational Geometry   gesture Recognition   image Classification 
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12707
Collection智能感知与计算研究中心
Corresponding AuthorKaiqi Huang
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Yeyin Zhang,Kaiqi Huang,Yongzhen Huang,et al. View-invariant Action Recognition Using Cross Ratios Across Frames[C],2009:3549--3552.
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