• DocumentCode
    3030022
  • Title

    The Design of Embedded Video-Based Vehicle Tracking System

  • Author

    Yu-Cheng Li ; Peng Sun

  • Author_Institution
    Coll. of Mech. & Electr. Eng., North China Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    29-30 June 2013
  • Firstpage
    1437
  • Lastpage
    1440
  • Abstract
    According to the need of distributed intelligent video surveillance in intelligent transportation system (ITS), a design based on S5PV210 microprocessor and embedded Linux operating system is proposed for real-time dynamic video target tracking and display. The scheme of the whole system design and the technical solutions of software and hardware are given. The system makes full use of the efficient video processing capability of S5PV210. The algorithm extracts moving vehicle foreground by Gaussian mixture model and background difference approach, if the vehicles are blocked, both the perspective characteristics and contour characteristics of the vehicles are used to segment the blocked foreground. Camshift and Kalman filtering algorithm are used in combination to track moving vehicles, the tracking result will be displayed on the LCD panel of the embedded system and uploaded to the information center. Details of the system realization are introduced in this paper.
  • Keywords
    Gaussian processes; Linux; automated highways; embedded systems; feature extraction; image segmentation; microprocessor chips; target tracking; video signal processing; video surveillance; Camshift; Gaussian mixture model; ITS; Kalman filtering algorithm; LCD panel; S5PV210 microprocessor; background difference approach; blocked foreground segmentation; contour characteristics; distributed intelligent video surveillance; dynamic video target tracking; embedded Linux operating system; embedded system; embedded video; intelligent transportation system; moving vehicle foreground extraction; moving vehicle tracking; perspective characteristics; vehicle tracking system; video processing; Automation; Manufacturing; Blocked vehicles segmentation; Camshift; Moving object detection; Object tracking; S5PV210;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICDMA.2013.343
  • Filename
    6598267