%0 Book Section %1 noKey %A Kondermann, Daniel %A Abraham, Steffen %A Brostow, Gabriel %A Förstner, Wolfgang %A Gehrig, Stefan %A Imiya, Atsushi %A Jähne, Bernd %A Klose, Felix %A Magnor, Marcus %A Mayer, Helmut %A Mester, Rudolf %A Pajdla, Tomas %A Reulke, Ralf %A Zimmer, Henning %B Outdoor and Large-Scale Real-World Scene Analysis %D 2012 %E Dellaert, Frank %E Frahm, Jan-Michael %E Pollefeys, Marc %E Leal-Taixé, Laura %E Rosenhahn, Bodo %I Springer Berlin Heidelberg %K evaluation optical_flow performance %P 329-355 %R 10.1007/978-3-642-34091-8_15 %T On Performance Analysis of Optical Flow Algorithms %U http://dx.doi.org/10.1007/978-3-642-34091-8_15 %V 7474 %X 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. %@ 978-3-642-34090-1

@incollection{noKey, abstract = {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.}, added-at = {2013-10-24T18:10:37.000+0200}, author = {Kondermann, Daniel and Abraham, Steffen and Brostow, Gabriel and Förstner, Wolfgang and Gehrig, Stefan and Imiya, Atsushi and Jähne, Bernd and Klose, Felix and Magnor, Marcus and Mayer, Helmut and Mester, Rudolf and Pajdla, Tomas and Reulke, Ralf and Zimmer, Henning}, biburl = {https://www.bibsonomy.org/bibtex/27b9de36cd57fd7e31240b193aa18f4c7/alex_ruff}, booktitle = {Outdoor and Large-Scale Real-World Scene Analysis}, description = {On Performance Analysis of Optical Flow Algorithms - Springer}, doi = {10.1007/978-3-642-34091-8_15}, editor = {Dellaert, Frank and Frahm, Jan-Michael and Pollefeys, Marc and Leal-Taixé, Laura and Rosenhahn, Bodo}, interhash = {012055cea43bfc2de9251acd3d545454}, intrahash = {7b9de36cd57fd7e31240b193aa18f4c7}, isbn = {978-3-642-34090-1}, keywords = {evaluation optical_flow performance}, pages = {329-355}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2013-10-24T18:10:37.000+0200}, title = {On Performance Analysis of Optical Flow Algorithms}, url = {http://dx.doi.org/10.1007/978-3-642-34091-8_15}, volume = 7474, year = 2012 }