• DocumentCode
    1010999
  • Title

    Tri-tracking method for robust object tracking

  • Author

    Zhang, R.-J. ; Lu, Hou-Cheng ; Jia, C.-H. ; Chen, Yi-Wen

  • Author_Institution
    Dept. of Electron. Eng., Dalian Univ. of Technol., Dalian
  • Volume
    44
  • Issue
    24
  • fYear
    2008
  • Firstpage
    1401
  • Lastpage
    1402
  • Abstract
    A novel tri-tracking method for tracking objects is proposed. The tracker trains three support vector machines with labelled frames, in which an object is represented using three independent feature histograms. Based on the confidence map created by each classifier, the object position is given by the mean shift. Experiments on several video sequences show the robustness and accuracy of the proposed method.
  • Keywords
    image sequences; object detection; optical tracking; statistical analysis; support vector machines; video signal processing; confidence map; feature histogram; mean shift; object classifier; object position; object tracking; support vector machine; tritracking; video sequence;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20082412
  • Filename
    4689483
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1010999