Title :
Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality
Author :
Marquez-Valle, Patricia ; Gil, Debora ; Hernandez-Sabate, Aura
Author_Institution :
Comput. Vision Center Edifici O, Bellaterra, Spain
Abstract :
Assessing Optical Flow (OF) quality is essential for its further use in reliable decision support systems. The absence of ground truth in such situations leads to the computation of OF Confidence Measures (CM) obtained from either input or output data. A fair comparison across the capabilities of the different CM for bounding OF error is required in order to choose the best OF-CM pair for discarding points where OF computation is not reliable. This paper presents a statistical probabilistic framework for assessing the quality of a given CM. Our quality measure is given in terms of the percentage of pixels whose OF error bound can not be determined by CM values. We also provide statistical tools for the computation of CM values that ensures a given accuracy of the flow field.
Keywords :
image sequences; probability; statistical analysis; CM values; OF error; OF-CM pair; confidence measures; optical flow quality; reliable decision support systems; statistical probabilistic framework; Adaptive optics; Computer vision; Integrated optics; Measurement uncertainty; Optical imaging; Probabilistic logic; Upper bound; Optical flow; confidence measures; performance evaluation;
Conference_Titel :
Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICCVW.2013.86
