• DocumentCode
    1871622
  • Title

    Determinants in human gait recognition

  • Author

    Amin, Tanvir ; Hatzinakos, Dimitrios

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Human gait is a complex phenomenon involving the motion of various parts of the body simultaneously in 3 dimensional space. The dynamics of different parts of the body translate the center of gravity from one point to another in the most energy efficient way. These body dynamics as well as the static parameters of different body parts contribute to gait recognition. Studies have been performed to assess the discriminatory power of static and dynamic features. The current research literature, however, lacks the work on the comparative significance of dynamic features from different parts of the body. This paper presents a comparative study for the recognition performance of dynamic features extracted from different parts of human body.
  • Keywords
    computer vision; feature extraction; gait analysis; image recognition; body dynamics; center of gravity; dynamic features; human gait recognition determinants; recognition performance; static features; Databases; Discrete cosine transforms; Dynamics; Feature extraction; Humans; Iris recognition; Gait recognition; biometrics; feature extraction; gait analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6335055
  • Filename
    6335055