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Human Gait Recognition Using Bezier Curves

机译:使用贝塞尔曲线的人的步态识别

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摘要

Gait recognition refers to automatic identification of an individual based on the style of walking. It is a new biometrics recognition technology. It has accomplished a series of achievements in scientific research in recent years. This paper proposed a new algorithm which is based on Bezier curves. Bezier curves are generated according to person?s walk and recognition is achieved by matching those curves by calculating the mean and variance, and used for recognition. Only the side-view of the person is considered, since this viewing angle provide the richest information of the gait of the waking person. The experimental result shows that the proposed approach has a good recognition performance.
机译:步态识别是指根据步行方式自动识别个人。这是一种新的生物识别技术。近年来,它在科学研究中取得了一系列成就。提出了一种基于贝塞尔曲线的新算法。贝塞尔曲线根据人的走动而生成,通过计算均值和方差来匹配这些曲线来实现识别,并将其用于识别。仅考虑人的侧视图,因为该视角提供了醒来的人的步态的最丰富的信息。实验结果表明,该方法具有良好的识别性能。

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