摘要
随着国内外对社会安全和反恐的日益重视,步态识别技术在远程监控中越来越显示出其独特优势;但由于步态识别存在诸多的困难,在现阶段仍未形成实用性的方法和理论框架,其关键问题是维数约简和特征提取;在局部保持映射的基础上,提出了一种正交判别局部保持映射的步态识别算法,用真实步态图像数据库上的实验结果表明该方法是有效可行的。
With the ever--increasing concern on the social security and antiterrorism, gait recognition has remarkable advantages in re- mote surveillance. However, gait recognition hasn＇ t been developed a practical algorithm or even the academic framework yet because many challenging problems need be tackled, which mostly concentrate on dimensional reduction and feature extraction. Based on locality preserving projections （LPP）, an orthogonal discriminant LPP （ODLPP） algorithm is proposed for gait recognition. The experimental results on the gait database show that ODLPP is more effective and feasible for gait recognition.
出处
《计算机测量与控制》
北大核心
2014年第5期1644-1646,共3页
Computer Measurement &Control
基金
河南省教育厅科学技术研究重点资助项目(12B120012)
河南省重大科技攻关计划项目(122102210429)
关键词
步态识别
流形学习
局部保持映射
正交判别局部保持映射
gait recognitionl manifold learning
locality preserving projections （LPP）
orthogonal discriminant LPP （ODLPP）
