...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Image, Graphics and Signal Processing >Gait Recognition for Human Identification Using Fourier Descriptor and Anatomical Landmarks
【24h】

Gait Recognition for Human Identification Using Fourier Descriptor and Anatomical Landmarks

机译：使用傅里叶描述子和解剖学地标识别人的步态

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a gait recognition method which is based on spatio-temporal movement characteristics of human subject with respect to surveillance camera. Different measures, like leg rise from ground (LRFG), the angles created between the legs with the centre of Mass (ABLC), angles created between the Centre of Mass Knee and Ankle with the (CKA), angles created between Centre of Mass, Wrist and knee (CWK), the distances between the control points and centre of Mass (DCC) have been taken as different features. Fourier descriptor has been used for shape extraction of individual frames of a subject. Statistical approach has been used for recognition of individuals based on the n feature vectors, each of size 23(collected from LRFG, ABLCs, CKA, CWK and DCCs) for each video frame. It has been found that recognition result of our approach is encouraging with compared to other recent methods.
机译：本文提出了一种基于人类对象相对于监控摄像机的时空运动特征的步态识别方法。不同的度量，例如，腿从地面抬起（LRFG），腿与重心之间的夹角（ABLC），重物膝盖和脚踝之间的夹角（CKA），重心之间的夹角，手腕和膝盖（CWK），控制点与质心（DCC）之间的距离已被视为不同特征。傅里叶描述符已用于对象的各个帧的形状提取。统计方法已用于基于n个特征向量的个体识别，每个视频帧的大小为23（从LRFG，ABLC，CKA，CWK和DCC收集），大小为23。已经发现，与其他最近的方法相比，我们的方法的识别结果令人鼓舞。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号