Abstract for HONS 08/09 - Computer Science and Software Engineering - University of Canterbury - New Zealand
HONS 08/09

Stereo Tracking of Objects with respect to a Ground Plane

Greg Baguley
Department of Computer Science and Software Engineering
University of Canterbury

Abstract

In this paper, a novel algorithm for tracking 3D cricket ball locations in relation to an estimated ground plane is proposed. This algorithm proposes using Random Sample Consensus to find a ground plane from disparity images, and then estimating 3D ball positions with respect to the ground plane using fast contour tracing and stereo depth values. In that no prior research has used stereo depth values to locate a ground plane and track an object with respect to that plane, the 90.7% successful tracking rate with only 1.95% false positives suggests that the proposed novel algorithm is a useful contribution for enabling automatic setup and ease of use for such tracking.
  • Phone: +64 3 369 2777
    Fax: +64 3 364 2569
    CSSEadministration@canterbury.ac.nz
  • Computer Science and Software Engineering
    University of Canterbury
    Private Bag 4800, Christchurch
    New Zealand
  • Follow us
    FacebookYoutubetwitterLinked In