静态特征和动态特征融合的步态识别

提出一种融合步态运动中的人体形状静态特征和动态特征的步态识别算法:使用改进的Hu矩表达人体轮廓特征,用于描述步态序列的静态特征;依据人体解剖学的知识定位下肢关节点,并提取两脚间的步幅,用于描述步态序列的动态特征;最后,将这两种特征进行组合处理。实验结果表明本文的算法具有不错的识别效能。

Gait Recognition Via Static and Dynamic Feature Fusion

A gait recognition algorithm was proposed based on the fusion of static shape feature and dynamic feature.Firstly,modified Hu moments was used to describe body contour as the static feature of gait sequence images.Secondly,according to the knowledge in body anatomy,the coordinates of joints of lower limbs was computed then the stride of feet was obtained as the dynamic feature of gait sequence images.Finally these features were fused.Experimental results demonstrate that the algorithm has efficient recognition performance.