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

fYear

2013

fDate

2-8 Dec. 2013

Firstpage

624

Lastpage

631

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on

Conference_Location

Sydney, NSW

Type

conf

DOI

10.1109/ICCVW.2013.86

Filename

6755954