Generally, gait recognition consists of three parts: gait detection, gait representation and gait identification.

通常，步态识别包含步态检测、步态表征和步态鉴别三个方面。

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K-neighbor classifier, BP neural network classifier and SVM classifier are used for gait identification respectively, and all of them obtain good identification results.

分别采用K -近邻分类器、BP神经网络分类器和SVM分类器进行步态鉴别实验，均获得了较好的鉴别效果。

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Gait recognition, the second biometrics identification technology based on motion vision, is used to signify the identity of individuals in image sequences 'by the way they walk '.

步态识别，非接触式远距离的身份识别研究——基于运动视觉的第二代生物特征识别技术，是根据拍摄的行走视频，通过人体走路的方式辨别人体身份。

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