Multi-view gait recognition based on tensor analysis

摘要：

　　In this paper,we have proposed a tensor analysis method for multi-view gait recognition.Gait Energy Image (GEl) is used for gait feature and then 4-order tensor is composed.Using a generalized singular value decomposition method-HOSVD,this tensor is decomposed to person subspace,series subspace,view subspace and feature subspace.In person subspace we finish the multi-view gait recognition.Lastly,we perform recognition by using a simple nearest neighbor rule.Experimental results on the widely used CASIA-B gait database demonstrate the effectiveness of the proposed method.

关键词： Gait recognition Multi-view tensor Higher-Order Singular Value Decomposition (HOSVD)

作者: Caijuan Shi Qiuqi Ruan Song Guo

作者单位: Institute of Information Science, Beijing Jiaotong University Beijing 100044, China; Beijing Key Lab Institute of Information Science, Beijing Jiaotong University Beijing 100044, China Institute of Information Science, Beijing Jiaotong University Beijing 100044, China; Beijing Key Lab

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 1222-1225

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）