Gait Recognition Based on Anatomical Knowledge

被引:0
作者
Guo, Yangming [1 ]
Tian, Guangjian [1 ]
机构
[1] Northwestern Polytech Univ, Coll Comp, Xian 710072, Shaanxi Prov, Peoples R China
来源
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词
biometrics; gait recognition; feature extraction; hidden Markov model; anatomical knowledge;
D O I
10.1109/WCICA.2008.4593963
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Gait recognition refers to automatic identification of an individual based on the style of walking; it's a new biometrics recognition technology. This paper attempts to describe gait signature based on Anatomical Knowledge, to make quasi-periodic analysis on height and width ratio of gait image, and to solve the problems resulting from image sequence of different gait cycle by HMM. By utilizing the algorithm in the paper, the experiments made on CMU database have achieved comparatively high correction identification ratio.
引用
收藏
页码:6803 / 6806
页数:4
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