• DocumentCode
    3696204
  • Title

    Application of Gait Factor in Reducing Gait Interferences

  • Author

    Yixuan Long;Xin Chen;Jiaming Xu

  • Author_Institution
    Inf. Manage. &
  • Volume
    2
  • fYear
    2015
  • Firstpage
    103
  • Lastpage
    107
  • Abstract
    With the development of gait recognition, there has been increasing interest in applying gait recognition systems to real life situations. Current gait feature matching methods have high computational cost and low robustness for interferences. This paper presents a novel and efficient matching algorithm for gait feature matching. Practical results show the effectiveness of these approaches to make gait matching unsensitive to interferences, more feasible, reliable and efficient than traditional matching methods.
  • Keywords
    "Feature extraction","Accuracy","Databases","Gait recognition","Hidden Markov models","Artificial neural networks","Gravity"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
  • Print_ISBN
    978-1-4799-8645-3
  • Type

    conf

  • DOI
    10.1109/IHMSC.2015.147
  • Filename
    7334928