• DocumentCode
    2505248
  • Title

    Fast People Counting Using Head Detection from Skeleton Graph

  • Author

    Merad, Djamel ; Aziz, Kheir-Eddine ; Thome, Nicolas

  • Author_Institution
    LSIS-IM, ESIL, Marseille, France
  • fYear
    2010
  • fDate
    Aug. 29 2010-Sept. 1 2010
  • Firstpage
    233
  • Lastpage
    240
  • Abstract
    In this paper, we present a new method for counting people. This method is based on the head detection after a segmentation of the human body by skeleton graph process. The skeleton silhouette is computed and decomposed into a set of segments corresponding to the head, torso and limbs. This structure captures the minimal information about the skeleton shape. No assumption is made about the viewpoint, this is done after the head pose process. Several results present the efficiency of the labelling process , particularly its structural properties for the detection of heads within a crowd. A proposed method has been tested with an experiment of counting the number of pedestrians passing in a specific area.
  • Keywords
    image processing; fast people counting; head detection; skeleton graph; skeleton silhouette; Feature extraction; Head; Humans; Image segmentation; Pixel; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-8310-5
  • Type

    conf

  • DOI
    10.1109/AVSS.2010.77
  • Filename
    5597312