A Novel Gait Recognition Method Based on Standard Deviation Energy Image

Lei Gu, F. Sun
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引用次数: 2

Abstract

Gait recognition, a new biometrics recognition technology, can discriminate individuals by the way they walk. A novel gait recognition method based on standard deviation energy image is proposed in this paper. Firstly, it divides video sequences into several gait cycles. Secondly, two kinds of energy images called nonzero and zero standard deviation energy image respectively are constructed. Finally, features vectors of two energy images are extracted and fused in subspace by means of principal components analysis. Experimental results show that our approach is valid and has encouraging recognition performance.
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基于标准差能量图像的步态识别新方法
步态识别是一种新的生物特征识别技术,它可以通过人的行走方式来识别人。提出了一种基于标准差能量图像的步态识别方法。首先,将视频序列划分为几个步态周期;其次,分别构造了非零和零标准差能量图像。最后,利用主成分分析方法提取两幅能量图像的特征向量,并在子空间中进行融合。实验结果表明,该方法是有效的,具有良好的识别性能。
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