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Author
Patricia Marquez; Debora Gil; R.Mester; Aura Hernandez-Sabate
Title
Local Analysis of Confidence Measures for Optical Flow Quality Evaluation
Type
Conference Article
Year
2014
Publication
9th International Conference on Computer Vision Theory and Applications
Abbreviated Journal
Volume
3
Issue
Pages
450-457
Keywords
Optical Flow; Confidence Measure; Performance Evaluation.
Abstract
Optical Flow (OF) techniques facing the complexity of real sequences have been developed in the last years. Even using the most appropriate technique for our specific problem, at some points the output flow might fail to achieve the minimum error required for the system. Confidence measures computed from either input data or OF output should discard those points where OF is not accurate enough for its further use. It follows that evaluating the capabilities of a confidence measure for bounding OF error is as important as the definition
itself. In this paper we analyze different confidence measures and point out their advantages and limitations for their use in real world settings. We also explore the agreement with current tools for their evaluation of confidence measures performance.
Address
Lisboa; January 2014
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VISAPP
Notes
IAM; ADAS; 600.044; 600.060; 600.057; 601.145; 600.076; 600.075
Approved
no
Call Number
Admin @ si @ MGM2014
Serial
2432
Permanent link to this record
Author
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate
Title
Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality
Type
Conference Article
Year
2013
Publication
ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars
Abbreviated Journal
Volume
Issue
Pages
624-631
Keywords
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.
Address
Sydney; Australia; December 2013
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Editor
Language
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Conference
CVTT:E2M
Notes
IAM; ADAS; 600.044; 600.057; 601.145
Approved
no
Call Number
Admin @ si @ MGH2013b
Serial
2351
Permanent link to this record
Author
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate
Title
A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth
Type
Conference Article
Year
2011
Publication
IEEE International Conference on Computer Vision – Workshops
Abbreviated Journal
Volume
Issue
Pages
2042-2049
Keywords
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.
Address
Corporate Author
Thesis
Publisher
IEEE
Place of Publication
Barcelona (Spain)
Editor
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
ICCVW
Notes
IAM; ADAS
Approved
no
Call Number
IAM @ iam @ MGH2011
Serial
1682
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