• DocumentCode
    3512700
  • Title

    Real-Time Tracking of the Shoot Point from Light Pen Based on Camshift

  • Author

    Ye, Lexiao ; Wang, Yigang

  • Author_Institution
    China Jiliang Univ., Hangzhou
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    560
  • Lastpage
    564
  • Abstract
    To realize the real-time tracking of the shoot point from light pen, we choose Camshift tracking algorithm, but it is difficult to track the point with dynamic and complicated background and in case that there is similar color with the shoot point from light pen. So, an improved method is proposed. Firstly, a red filter which weakens the effect of background, and makes the object prominent is introduced to improve the effect of color extraction based on Camshift algorithm. The red filter makes the algorithm overcome disturbance of the background color, and makes the automatic tracking of shoot point with high real-time performance and strong robustness. Then the automatic tracking of the shoot point from light pen is realized by changing the manner of selecting region. Finally, we realize the real-time tracking of the shoot point from light pen using OpenCV. The experimental results indicate that color object is efficiently tracked even with dynamic and complicated background by the new method which is presented in the paper.
  • Keywords
    feature extraction; filtering theory; image colour analysis; light pens; object detection; statistical distributions; tracking; video signal processing; Camshift tracking algorithm; OpenCV; color extraction; complicated background; dynamic background; light pen; object detection; probability distribution; real-time shoot point tracking; red filter; video signal processing; Computer vision; Filters; Histograms; Intelligent networks; Intelligent systems; Pixel; Probability distribution; Real time systems; Robustness; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.157
  • Filename
    4683288