Graphics and Vision
Computer Vision Research Group
Department of Computer Science
University of Otago
Dunedin, New Zealand
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On the Evaluation of Optical Flow Algorithims
Brendan McCane, Ben Galvin and Kevin Novins.
Fifth International Conference on Control, Automation, Robotics and Vision, Singapore 9-11 December 1998, pp 1563-1567.
 

Abstract:
Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground-truth data sets for complex scenes. We describe a simple modification to a ray tracer that allows us to generate ground-truth motion fields for scenes of arbitrary complexity. The resulting flow maps are used to assist in the comparison of eight optical flow algorithms using two complex, synthetic scenes. We introduce a new performance metric based on the correlation of vector gradient magnitude images which is especially pertinent for evaluating optical flow algorithms for boundary detection applications.
 

Downloads:

  • A gzipped postscript version of the paper is available from here.
  • An HTML overview is available here.
 
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Last Modified: 31st August 2000