摘要
提出了一种利用不变矩进行步态识别的方法。该方法把二维人体空间轮廓信号变换为一维不变矩信号,把人体的步态序列变换为不变矩矢量,对不变矩矢量进行规格化,然后根据规格化不变矩矢量进行步态识别。实验中,本文的方法取得很好的效果。
A new method was described for gait recognition by using moment invariants. The body contour represented in 2D signature was transformed into moment invariants represented in 1D signature. The gait sequences could be represented by using moment invariants vectors. The vectors were normalized and used to recognize the gait. The results of the experiments show that the method have an encouraging recognition performance.
出处
《计算机应用》
CSCD
北大核心
2005年第8期1795-1796,1804,共3页
journal of Computer Applications
关键词
步态识别
轮廓表示
规格化不变矩
时空相关
<Keyword>gait recognition
contour representation
normalization moment invariants
spatio-temporal correlation