• DocumentCode
    2005378
  • Title

    RAT: Robust animal tracking

  • Author

    Farah, Rana ; Langlois, J. M Pierre ; Bilodeau, Guillaume-Alexandre

  • Author_Institution
    Comput. & Software Eng. Dept., Ecole Polytech. de Montreal, Montreal, QC, Canada
  • fYear
    2011
  • fDate
    17-18 Sept. 2011
  • Firstpage
    65
  • Lastpage
    70
  • Abstract
    Determining the motion pattern of laboratory animals is very important in order to monitor their reaction to various stimuli. In this paper, we propose a robust method to track animals, and consequently determine their motion pattern. The method is designed to work under uncontrolled normal laboratory conditions. It consists of two steps. The first step tracks the animal coarsely, using the combination of four features, while the second step refines the boundaries of the tracked area, in order to fit more precisely the boundaries of the animal. The method achieves an average tracking error smaller than 5% for our test videos.
  • Keywords
    image motion analysis; object tracking; video signal processing; RAT; laboratory animals; motion pattern; robust animal tracking; Animals; Image edge detection; Noise; Reflection; Target tracking; Videos; Computer vision; animal tracking; dimension refinement; optimizing score;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotic and Sensors Environments (ROSE), 2011 IEEE International Symposium on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4577-0819-0
  • Type

    conf

  • DOI
    10.1109/ROSE.2011.6058509
  • Filename
    6058509