Stochastic motion estimation and its applications

Yung Nien Sun, Ming Huwi Horng

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

Abstract

Motion is an important clue used in human vision to extract objects of interest form background with irrelevant details. In image analysis, motion stems from the relative displacement between sensor and scene under observation. In this paper, a posteriori probabilistic approach is used to define the problem of the motion estimation. The motion vector is estimated by maximizing the a posteriori probability distribution of the relation intensity distribution.

Original languageEnglish
Title of host publicationProc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)
Editors Anon
PublisherPubl by IEEE
Pages961-965
Number of pages5
ISBN (Print)0780312333
Publication statusPublished - 1993 Dec 1
EventProceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5) - Beijing, China
Duration: 1993 Oct 191993 Oct 21

Publication series

NameProc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)

Other

OtherProceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)
CityBeijing, China
Period93-10-1993-10-21

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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