• DocumentCode
    3429160
  • Title

    Implementation of object recognition and tracking algorithm on real-time basis

  • Author

    Jae Chang Kwak ; Tae Ryong Park ; Yong Seo Koo ; Kwang Yeob Lee

  • Author_Institution
    Dept. of Comput. Sci., Seo Kyeong Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    1-4 July 2013
  • Firstpage
    2000
  • Lastpage
    2004
  • Abstract
    This paper is intended to recognize and track objects on real time basis under the embedded environment. Speed and rate of recognition have been improved by strong directional SURF and optical flow, but its speed is not fast enough for the embedded system. In this paper, recognition and tracking objects by integration of ORB and optical flow with a parallelization using OpenMP are implemented. The result shows an improved processing speed.
  • Keywords
    feature extraction; object recognition; object tracking; ORB; OpenMP; Speeded Up Robust Feature; directional SURF; embedded system; object recognition; object tracking algorithm; optical flow; real time basis; Computer vision; Image motion analysis; Integrated optics; Object recognition; Optical imaging; Parallel processing; Real-time systems; BRIEF; ORB; OpenMP; SURF; optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EUROCON, 2013 IEEE
  • Conference_Location
    Zagreb
  • Print_ISBN
    978-1-4673-2230-0
  • Type

    conf

  • DOI
    10.1109/EUROCON.2013.6625254
  • Filename
    6625254
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3429160