Tensor Analysis and Multi-Scale Features Based Multi-View Human Action Recognition

摘要：

A method of multi-view human action recognition based on multi-scale features via tensor analysis is proposed. A series of silhouettes are transformed to a Serials-Frame image, from which the multi-scale features are extracted to construct the eigenSpace of a tensor,which named Serials-Frame Tensor(SF-Tensor). The SF-Tensor subspace analysis is applied to separate the variable views and people information to recognize different actions. Experiment results obtained show that the proposed method attains a good recognition rate and improves the efficiency significantly.

关键词： action recognition:multi-scale features:SFtensor multi-view

作者: Chengcheng Jia Sujing Wang Xiangli Xu Chunguang Zhou Libiao Zhang

作者单位: College of Computer Science and Technology,Jilin University,Changchun 130012,P. R. China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Computer Engineering and Technology(2010年第二届计算机工程与技术国际会议 ICCET 2010)

会议地点: 成都

会议语种:英文

页码: 2167-2171

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）