• DocumentCode
    3489355
  • Title

    Footprint tracking and recognition using a pressure sensing floor

  • Author

    Zhang, Jiqing ; Qian, Gang ; Kidané, Assegid

  • Author_Institution
    Sch. of Arts, Media & Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    2737
  • Lastpage
    2740
  • Abstract
    This paper presents an approach to clustering, tracking and recognizing footprints of a single subject from pressure data obtained using a pressure sensing floor. The proposed method clusters active footprint areas on the floor and recognizes and tracks the footprints according to their 2D shapes and geometrical relationships among foot clusters. Experimental results show the efficacy of the proposed approach.
  • Keywords
    image recognition; pattern clustering; tracking; foot clusters; footprint recognition; footprint tracking; pressure data; pressure sensing floor; Art; Biometrics; Clustering algorithms; Convergence; Floors; Foot; Kernel; Power engineering and energy; Sensor arrays; Shape; Pressure sensing floor; footprint tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414148
  • Filename
    5414148