[1]YANG Jing,RUAN Qiuqi,LI Xiaoli,et al.A Procrustes statistical gait recognition algorithm based on spectrum analysis[J].CAAI Transactions on Intelligent Systems,2011,6(5):432-439.
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A Procrustes statistical gait recognition algorithm based on spectrum analysis

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 5 Page number: 432-439 Column: 学术论文—机器感知与模式识别 Public date: 2011-10-30
Title:
A Procrustes statistical gait recognition algorithm based on spectrum analysis
Author(s):
YANG Jing1; 2;  RUAN Qiuqi1;  LI Xiaoli1;  2
1.Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China；
2.Beijing Key Laboratory of Advanced Information Science and Network Technology， Beijing Jiaotong University, Beijing 100044, China
Keywords:
gait recognition;  Procrustes statistical shape analysis;  Procrustes mean shape (PMS);  Fourier spectrum analysis (FSA);  multiview recognition
CLC:
TP391.4
DOI:
-
Abstract:
As a special means of identification, gait recognition has acquired a lot of attention in a modern society in which information security has become increasingly important. A multiview gait recognition algorithm based on the Fourier spectrum analysis of Procrustes mean shape (FSAOPMS) was proposed in this paper. Procrustes shape analysis was used to produce a compact Procrustes mean shape (PMS) from the continuous gesture variation of human body contours in gait sequences. The spectrum of the PMS was analyzed using the Fourier transformation, and the Euclidean distance of the amplitude spectrum of the PMS from various sequences was computed. The classifier was the nearest neighbor (NN). The results of comparison with the other three methods in the CASIA database show that the proposed algorithm is more effective in terms of the recognition accuracy.
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