主管：中华人民共和国司法部
主办：司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N
中国司法鉴定

›› 2013 ›› Issue (2): 66-70.

• 鉴定实践 • 上一篇    下一篇

Simi视频动作捕捉系统在步态分析中的应用初探

高毅   

  1. 中国刑警学院
  • 收稿日期:2012-11-21 修回日期:2013-02-01 出版日期:2013-03-15 发布日期:2013-04-02
  • 通讯作者: 高毅

Studies on Using Simi Motion Capture System in Gait Recognition

  1. ccpc
  • Received:2012-11-21 Revised:2013-02-01 Published:2013-03-15 Online:2013-04-02

摘要： 摘 要:目的 探讨对人体行走运动主要步态特征参数新的提取识别方法和定量化分析技术。方法 以步态分析技术与传统的足迹检验理论和方法为基础，运用先进的simi motion视频动作捕捉系统，对100名健康男性正常行走的步态特征参数进行识别和分析。结果 提出了一种基于关节点的步态特征提取方法，得到了行走步态特征的基本参数，对空间、力学等数据进行分析，为步态特征定量化检验提供技术支持。结论 研究表明，simi视频动作捕捉系统可以获得较精确的步态特征数据，能够满足人体步态分析的需求，进而达到人身个体识别的目的，在公共安全领域具有广阔的应用前景。 关键词：步态识别；特征提取；Simi视频动作捕捉；量化检验

关键词: 关键词：步态识别, 特征提取, Simi视频动作捕捉系统, 量化检验, Key words: gait recognition, feature extraction, Simi motion capture system, quantitative inspection

Abstract: Summary: Objective: explore the new extraction recognition methods and the quantification analysis technology of major gait feature parameter of human walking. Method: Base on the gait analysis techniques with the traditional theory and methods of footprint detection, to recognize and analyze the gait parameters of 100 healthy men using the advanced Simi motion capture system. Results: It presents a gait feature extraction method which is based on artis, also reaching the basic parameters of gait features of walking, to analyze space and mechanics data, and provide technical support for the gait feature quantitative inspection. Conclusion: The research shows that Simi motion capture system can acquire more accurate data of gait feature, can meet the needs of gait analysis, and can attain the purpose of person individual identification will be having a wide application prospect in public security domain.