• DocumentCode
    3763324
  • Title

    Real-time object tracking based on colour feature and perspective projection

  • Author

    Joseph K. P. Tsoi;N. D. Patel;A. K. Swain

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Auckland, New Zealand
  • fYear
    2015
  • Firstpage
    665
  • Lastpage
    670
  • Abstract
    This paper proposes a fast and robust real-time object tracking technique in a ball and beam system following the concept of rotating frame (to be called as rotating ball and beam system). The technique uses a standard contact free video camera which is placed at a static position and allows the sensor to capture the entire dynamic motion of the system. Since the captured image is in the world coordinates, instead of the rotating beam coordinates, the position of the object is easily extracted using either of the two projective transform methods such as Hue, Saturation and Value (HSV) or Hue, Saturation (HS). Experimental results on a prototype ball and beam system demonstrate that performance of HS based object localization, which ignores the light intensity, is better compared with HSV based method.
  • Keywords
    "Image color analysis","Sensors","Cameras","Transforms","Feature extraction","Standards","Real-time systems"
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2015 9th International Conference on
  • Electronic_ISBN
    2156-8073
  • Type

    conf

  • DOI
    10.1109/ICSensT.2015.7438481
  • Filename
    7438481