%0 Journal Article %1 McCane2001126 %A McCane, B %A Novins, K %A Crannitch, D %A Galvin, B %D 2001 %J Computer Vision and Image Understanding %K benchmark evaluation optical_flow %N 1 %P 126 - 143 %R 10.1006/cviu.2001.0930 %T On Benchmarking Optical Flow %U http://www.sciencedirect.com/science/article/pii/S1077314201909300 %V 84 %X Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground truth data sets for complex scenes. We present a new method for generating motion fields from real sequences containing polyhedral objects and present a test suite for benchmarking optical flow algorithms consisting of complex synthetic sequences and real scenes with ground truth. We provide a preliminary quantitative evaluation of seven optical flow algorithms using these synthetic and real sequences. Ultimately, we feel that researchers should benchmark their own algorithms using a standard suite. To that end, we offer our Web site as a repository for standard sequences and results.

@article{McCane2001126, abstract = {Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground truth data sets for complex scenes. We present a new method for generating motion fields from real sequences containing polyhedral objects and present a test suite for benchmarking optical flow algorithms consisting of complex synthetic sequences and real scenes with ground truth. We provide a preliminary quantitative evaluation of seven optical flow algorithms using these synthetic and real sequences. Ultimately, we feel that researchers should benchmark their own algorithms using a standard suite. To that end, we offer our Web site as a repository for standard sequences and results. }, added-at = {2013-10-22T15:27:42.000+0200}, author = {McCane, B and Novins, K and Crannitch, D and Galvin, B}, biburl = {https://www.bibsonomy.org/bibtex/2e3497e26fda3b7234b143f4002bbbec4/alex_ruff}, description = {On Benchmarking Optical Flow}, doi = {10.1006/cviu.2001.0930}, interhash = {886c7f138a4e2daa31460cd248273d51}, intrahash = {e3497e26fda3b7234b143f4002bbbec4}, issn = {1077-3142}, journal = {Computer Vision and Image Understanding }, keywords = {benchmark evaluation optical_flow}, number = 1, pages = {126 - 143}, timestamp = {2013-10-22T15:27:42.000+0200}, title = {On Benchmarking Optical Flow }, url = {http://www.sciencedirect.com/science/article/pii/S1077314201909300}, volume = 84, year = 2001 }