• DocumentCode
    190953
  • Title

    An optimized target tracking algorithm of online boosting

  • Author

    Zhu Liang-yi ; Wang Qing ; Zhu Rui ; Lu Dan

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    5-8 Aug. 2014
  • Firstpage
    450
  • Lastpage
    455
  • Abstract
    On the basis of online boosting algorithm, this paper presents an optimized target tracking algorithm. Now, the commonly-used tracking algorithm usually tracks the targets as a whole, thus facing great difficulty in realizing effective tracking while the target is severely shielded. In order to surmount the difficulties resulting from shielding, this paper puts forward block-based target tracking algorithm that splits the target into several parts and then locates the target through summing up the tracking results of every part. To meet the changes of target appearance in tracking process, this paper brings forth block-based target tracking algorithm of online boosting in combination with block-based thinking and online boosting framework. The experimental results illustrate that this algorithm has upgraded tracking robustness and accuracy.
  • Keywords
    target tracking; block-based target tracking; block-based thinking; online boosting; optimized target tracking algorithm; Boosting; Classification algorithms; Feature extraction; Heuristic algorithms; Object detection; Signal processing algorithms; Target tracking; block algorithm; online boosting algorithm; strong classifier; visual tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4799-5272-4
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2014.6986234
  • Filename
    6986234