• DocumentCode
    2726943
  • Title

    Tracking Multiple Circular Objects in Video Using Helmholtz Principle

  • Author

    Mukherjee, Snehasis ; Mukherjee, Dipti Prasad

  • Author_Institution
    Electron. & Commun. Sci. Unit, Indian Stat. Inst., Kolkata
  • fYear
    2009
  • fDate
    4-6 Feb. 2009
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    A novel algorithm is introduced to track multiple circular objects present in video using Helmholtz perception principle. First, segmentation of circular objects in the video frame is performed using the perception principle and then same perception principle is applied to track the circular objects. For each circular object present in video, we have taken an assessment of the meaningfulness of the shift of its center of gravity and meaningfulness of the deviation of the direction of movement of the object due to inter-frame displacement. We have shown that a logical threshold in the meaningfulness value tracks circular objects in a video effectively and efficiently.
  • Keywords
    image segmentation; video signal processing; Helmholtz principle; segmentation; tracking multiple circular objects; video; Computer vision; Event detection; Gravity; Image edge detection; Image segmentation; Linearity; Object detection; Pattern recognition; Shape; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4244-3335-3
  • Type

    conf

  • DOI
    10.1109/ICAPR.2009.22
  • Filename
    4782794