A Database and Evaluation Methodology for Optical Flow

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Int J Comput Vis (2011) 92: 1 31DOI Database and Evaluation Methodology for Optical FlowSimon Baker Daniel Scharstein Lewis Stefan Roth Michael J. Black Richard SzeliskiReceived: 18 December 2009 / Accepted: 20 September 2010 / Published online: 30 November 2010 The Author(s) 2010. This article is published with open access at quantitative Evaluation of Optical flow algo-rithms by Barron et al. (1994) led to significant advancesin performance. The challenges for Optical flow algorithmstoday go beyond the datasets and Evaluation methods pro-posed in that paper. Instead, they center on problems as-sociated with complex natural scenes, including nonrigidmotion, real sensor noise, and motion discontinuities.

2 Int J Comput Vis (2011) 92: 1–31 study, which led to rapid and measurable progress. To con-tinue the rapid progress, new and more challenging datasets

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