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Gait Recognition Based on Modified Phase Only Correlation

机译:基于修改阶段的步态识别仅相关性

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Clothing, carrying conditions, and other intra-class variations, also referred as "covariates", affect the performance of gait recognition systems. This paper proposes a supervised feature extraction method which is able to select relevant features for human recognition to mitigates the impact of covariates and hence improve the recognition performance. The proposed method is evaluated using CASIA Gait Database (Dataset B) and the experimental results suggest that our method yields attractive results.
机译:服装,携带条件和其他内部内部变化,也称为“协变量”,影响步态识别系统的性能。本文提出了一种监督特征提取方法,能够选择人类认可的相关特征,以减轻协变量的影响,从而提高识别性能。使用Casia步态数据库(DataSet B)评估所提出的方法,实验结果表明我们的方法产生有吸引力的结果。

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