Automatic Gait Recognition Based on SVM

摘要：

Human detection algorithm based on Support Vdector Machines and system realization were system-matically discussed. We extract local shape mutation feature of the targets through wavelet transformation of t1he static image.and combine the gait feature of the dynamic frame.We also use a better learning and generalization of two-layer support vector machines in a small sample conditions.Oar approach has real-time,high accuracy and wide range of application.

关键词： gait feature human detection real-time two-layer support vector machines wavelet transformation

作者: MA Ying LI Bo TANG Yuan WANG Zhu

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 496-499

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）