English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Adaptive mixed norm optical flow estimation

Vieira Estrela, V., Franz, M., Lopes, R., & De Araújo, A. (2005). Adaptive mixed norm optical flow estimation. In S. Li (Ed.), Visual Communications and Image Processing (VCIP 2005) (pp. 1-8). Bellingham, WA, USA: SPIE.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0005-2158-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-2159-2
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
https://www.spiedigitallibrary.org/proceedings/Download?fullDOI=10.1117%2F12.632674 (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Vieira Estrela, V, Author
Franz, MO1, 2, Author           
Lopes, RT, Author
De Araújo, AP, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: The pel-recursive computation of 2-D optical flow has been extensively studied in computer vision to estimate motion from image sequences, but it still raises a wealth of issues, such as the treatment of outliers, motion discontinuities and occlusion. It relies on spatio-temporal brightness variations due to motion. Our proposed adaptive regularized approach deals with these issues within a common framework. It relies on the use of a data-driven technique called Mixed Norm (MN) to estimate the best motion vector for a given pixel. In our model, various types of noise can be handled, representing different sources of error. The motion vector estimation takes into consideration local image properties and it results from the minimization of a mixed norm functional with a regularization parameter depending on the kurtosis. This parameter determines the relative importance of the fourth norm and makes the functional convex. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Experiments indicate that this approach provides robust estimates of the optical flow.

Details

show
hide
Language(s):
 Dates: 2005-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1117/12.632674
 Degree: -

Event

show
hide
Title: Visual Communications and Image Processing (VCIP 2005)
Place of Event: Beijing, China
Start-/End Date: 2005-07-12 - 2005-07-15

Legal Case

show

Project information

show

Source 1

show
hide
Title: Visual Communications and Image Processing (VCIP 2005)
Source Genre: Proceedings
 Creator(s):
Li, S, Editor
Affiliations:
-
Publ. Info: Bellingham, WA, USA : SPIE
Pages: - Volume / Issue: - Sequence Number: 59603W Start / End Page: 1 - 8 Identifier: -

Source 2

show
hide
Title: Proceedings of the SPIE
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 5960 Sequence Number: - Start / End Page: - Identifier: ISSN: 0038-7355