Gait Representation and Recognition Using Haar Wavelet and Radon Transform

被引：3

作者：

Zhang, Hao ^{[1
]}

Liu, Zhijing ^{[1
]}

机构：

[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China

来源：

2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I | 2009年

关键词：

gait analysis; gait recognition; Haar wavelet; Radon transform; feature extraction;

D O I：

10.1109/ICIE.2009.102

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presented a new gait identification and authentication method based on Haar wavelet and Radon transform. This method consists of two stages, gait modeling and recognition. In the first stage, images extracted from video sequences are pre-processed into binary silhouette. In terms of gait cycle, they are divided into 4 states, in each of which the distinct images are selected. The horizontal and vertical features are acquired by Haar wavelet, and then feature vectors are obtained respectively by Radon transform. In the second stage, probe sequences are fed. After feature transform of image sequence, the value of similarity can be obtained by comparing probe vectors with gallery ones and optimized to give gait recognition. Consequently, we can improve the rate of recognition by further optimization.

引用

页码：83 / 86

页数：4

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