• DocumentCode
    2003628
  • Title

    Hand detection from silhouette for video surveillance application

  • Author

    Kong, Win ; Hussain, Aini ; Saad, Mohd Hanif Md ; Tahir, Nooritawati Md

  • Author_Institution
    Fac. of Eng. & Built Environ., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    514
  • Lastpage
    518
  • Abstract
    The new breakthrough in technology has opened new chances for researchers to develop more advance video surveillance system to provide human a more liveable city. Hand detection from silhouette for video surveillance application is important as it enables the tracking of human hand across video frames. This paper describes the algorithm for hand detection from human silhouette for video surveillance application. The Euclidean distance profile is calculated from the center point of silhouette to every pixel on the silhouette´s edge profile. The first and the third significant peak of the profile were observed to denote the hand location in most cases (85%).
  • Keywords
    object detection; object tracking; palmprint recognition; video surveillance; Euclidean distance profile; hand detection; human hand tracking; silhouette; video frames; video surveillance; Biological system modeling; Euclidean distance; Head; Humans; Image edge detection; Skeleton; Video surveillance; Hand detection; human body modelling; skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
  • Conference_Location
    Melaka
  • Print_ISBN
    978-1-4673-0960-8
  • Type

    conf

  • DOI
    10.1109/CSPA.2012.6194783
  • Filename
    6194783