摘要
提出了一种基于Hilbert-Huang描述子和K-近邻法的步态识别方法.对于每个步态序列,首先通过背景减差法检测运动目标的轮廓,然后使用Hilbert-Huang描述子对轮廓线进行描述,获取步态特征.运用K-近邻法分析方法,对步态进行自动识别.实验结果表明所提出的步态识别方法识别率达到了78%.
This paper proposes a gait recognition method based on Hilbert-Huang Descriptors （HHDs） and K-Nearest Neighbors method （KNN）. For each image sequence, background subtraction algorithm is firstly used to segment the silhouettes of moving object from the background. When analyzing the body contours by HHDs, we obtained the gait feathers. K-Nearest Neighbors method is finally applied to analysis and recognition automatically. The experimental results demonstrated that the approach reached 78% correctly rate.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2008年第1期124-128,共5页
Journal of Wuhan University:Natural Science Edition
基金
国家自然科学基金(60702079)
湖北省自然基金(2006ABA027)资助项目
