Condensation Tracking through a Hough Space

  • Authors:
  • Andrew French;Steven Mills;Tony Pridmore

  • Affiliations:
  • The University of Nottingham, UK;The University of Nottingham, UK;The University of Nottingham, UK

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Recent work has shown tracking groups of lines throughthe parameter space represented by a Hough accumulatorarray to be efficient and insensitive to both occlusion andchanges in illumination. Previous methods [Object tracking througha Hough space, Tracking in a Hough space with an extended Kalman filter]have, however, been less robust in the presence of distractions. Distractions are a challenge to trackers of all types, but the problem is heightened in the Hough-based approach as short collinear segments give the same response as an equal length connected line. We describe the application of the Condensation algorithm to tracking peaks through a Hough accumulator array, producing a tracking technique that is efficient and robust under illumination changes, occlusion and distractions.