Method of gait recognition based on Modified Locality Sensitive Discriminant Analysis

Abstract

Abstract: Compared with other widely used biometric feature recognition such as face and fingerprint recognition, the gait recognition is a relatively new and at a distance human identification. A method of gait recognition based on Modified Locality Sensitive Discriminant Analysis（MLSDA） method is proposed. The experimental results on the real-world gait databases show that the proposed method is effective and feasible for gait recognition.

Key words: biometric feature, gait recognition, locality sensitive discriminant analysis, Modified Locality Sensitive Discriminant Analysis（MLSDA）

摘要： 相对于人脸和指纹等广泛使用的生物特征识别手段而言，步态识别是一种相对新的非接触式的身份识别方法。提出了一种基于改进的局部敏感判别分析的步态识别方法。在真实的步态数据库上的实验结果表明，提出的步态识别方法是有效可行的。

关键词: 生物特征, 步态识别, 局部敏感判别分析, 改进的局部敏感判别分析

ZHANG Shanwen, JU Chunfei. Method of gait recognition based on Modified Locality Sensitive Discriminant Analysis[J]. Computer Engineering and Applications, 2012, 48(25): 203-206.

张善文，巨春飞. 基于改进的局部敏感判别分析的步态识别方法[J]. 计算机工程与应用, 2012, 48(25): 203-206.

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Method of gait recognition based on Modified Locality Sensitive Discriminant Analysis

基于改进的局部敏感判别分析的步态识别方法

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