Probability distributions of optical flow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Gradient methods are widely used in the computation of optical flow. The authors discuss extensions of these methods which compute probability distributions of optical flow. The use of distributions allows representation of the uncertainties inherent in the optical flow computation, facilitating the combination with information from other sources. Distributed optical flow for a synthetic image sequence is computed, and it is demonstrated that the probabilistic model accounts for the errors in the flow estimates. The distributed optical flow for a real image sequence is computed.

Original languageEnglish (US)
Title of host publicationProc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit
PublisherPubl by IEEE
Pages310-315
Number of pages6
ISBN (Print)0818621486
StatePublished - 1991
EventProceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Maui, HI
Duration: Jun 3 1991Jun 6 1991

Publication series

NameProc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit

Other

OtherProceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityMaui, HI
Period6/3/916/6/91

ASJC Scopus subject areas

  • Engineering(all)

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