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Publication Detail
On performance analysis of optical flow algorithms
  • Publication Type:
  • Authors:
    Kondermann D, Abraham S, Brostow G, Förstner W, Gehrig S, Imiya A, Jähne B, Klose F, Magnor M, Mayer H, Mester R, Pajdla T, Reulke R, Zimmer H
  • Publication date:
  • Pagination:
    329, 355
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    7474 LNCS
  • ISBN-13:
  • Status:
  • Print ISSN:
Literally thousands of articles on optical flow algorithms have been published in the past thirty years. Only a small subset of the suggested algorithms have been analyzed with respect to their performance. These evaluations were based on black-box tests, mainly yielding information on the average accuracy on test-sequences with ground truth. No theoretically sound justification exists on why this approach meaningfully and/or exhaustively describes the properties of optical flow algorithms. In practice, design choices are often made based on unmotivated criteria or by trial and error. This article is a position paper questioning current methods in performance analysis. Without empirical results, we discuss more rigorous and theoretically sound approaches which could enable scientists and engineers alike to make sufficiently motivated design choices for a given motion estimation task. © 2012 Springer-Verlag.
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