@InProceedings{PatriciaMarquez2011,
author="Patricia Marquez
and Debora Gil
and Aura Hernandez-Sabate",
title="A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth",
booktitle="IEEE International Conference on Computer Vision -- Workshops",
year="2011",
publisher="IEEE",
address="Barcelona (Spain)",
pages="2042--2049",
optkeywords="IEEE International Conference on Computer Vision -- Workshops",
abstract="Optical flow is a valuable tool for motion analysis in autonomous navigation systems. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in real world sequences. This paper introduces a measure of optical flow accuracy for Lucas-Kanade based flows in terms of the numerical stability of the data-term. We call this measure optical flow condition number. A statistical analysis over ground-truth data show a good statistical correlation between the condition number and optical flow error. Experiments on driving sequences illustrate its potential for autonomous navigation systems.",
optnote="IAM; ADAS",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1682), last updated on Wed, 16 Jan 2019 12:34:54 +0100",
doi="10.1109/ICCVW.2011.6130499",
opturl="http://www.cvc.uab.es/adas/CVVT2011/",
file=":http://refbase.cvc.uab.es/files/MGH2011.pdf:PDF",
language="English"
}