• DocumentCode
    2217989
  • Title

    Tracking system using CamShift and feature points

  • Author

    Ganoun, Ali ; Ould-Dris, Nouar ; Canals, Raphael

  • Author_Institution
    Lab. of Electron., Signals & Images (LESI), Univ. of Orleans, Orleans, France
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we present a new object tracking approach in grey-level image sequences. The method is based on the analysis of the histogram of distribution of the image and the feature points of the object. Among the essential contributions of this work, we can quote a better modelling of the object to track and the consideration of the target appearance changes during the sequence. Our approach is a prolongation of the CamShift algorithm (Continuously Adaptive MeanShift) applications. The goal is to widen the field of application of this algorithm in order to adapt it to grey-level image sequences presenting strong modifications of shape, luminosity and grey-level values.
  • Keywords
    feature extraction; image sequences; object tracking; CamShift algorithm; continuously adaptive meanshift; feature points; grey-level image sequences; grey-level values; image distribution; luminosity; object tracking approach; target appearance; tracking system; Abstracts; Adaptation models; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071313