基于角度直方图的步态识别算法  

A Gait Recognition Algorithm Based on Angle Histogram

作　　者：赵子健[1] 吴晓娟[1] 刘允才[1] 

机构地区：[1]山东大学信息科学与工程学院,山东济南250100

出　　处：《计算机工程与科学》2006年第6期73-76,共4页Computer Engineering & Science

基　　金：山东省自然科学基金资助项目(Y2002G04)

摘　　要：本文提出了一种简单实用的步态识别算法。该算法使用背景减除的方法检测人的运动区域;然后统计运动区域上像素的角度直方图,提取角度直方图向量作为步态特征;以欧氏距离作为度量,使用标准模式分类器用于步态识别。实验结果表明,本文提出的算法识别性能较高,并具有计算代价小等优点。This paper proposes a simple but efficient algorithm of gait recognition. In each image sequence, background subtraction and related processes are carried out to segment and track the moving silhouettes of a walking figure from the background. By computing the angles of the pixels in the moving silhouettes, we can get the angle histogram vectors as the gait signature. Supervised pattern classifiers with Euclidian Measurement are finally performed for recognition. Extensive experinacnts using the NLPR database demonstrate that the proposed algorithm has a high recognition performance with low computational cost.

关 键 词：生物特征识别 步态识别 背景减除 角度直方图 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]